{"id":2195,"date":"2018-05-15T01:00:00","date_gmt":"2018-05-14T17:00:00","guid":{"rendered":"http:\/\/swarma.org\/%swarma-paper%\/"},"modified":"2018-12-05T18:39:44","modified_gmt":"2018-12-05T10:39:44","slug":"%e5%87%a0%e4%bd%95%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e5%89%8d%e6%b2%bf","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=2195","title":{"rendered":"\u51e0\u4f55\u6df1\u5ea6\u5b66\u4e60\u524d\u6cbf"},"content":{"rendered":"<div class=\"bpp-post-content\">\n<p style=\"text-align: center;\" ><img class=\"\"         style=\"width: 100%;height: auto;\" src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/08\/swarma8-1534231293.jpeg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\"  \/><br  \/><\/p>\n<section style=\"display: none;height: 0px;\"><\/section>\n<section style=\"display: none;height: 0px;\"><\/section>\n<section style=\"display: none;height: 0px;\"><\/section>\n<section class=\"mpa-template\"    style=\"white-space: normal;\">\n<section style=\"margin-left: 1em;color: rgb(105, 13, 3);font-size: 16px;line-height: 1.4;border-color: rgb(105, 13, 3);overflow-wrap: break-word !important;\"><span style=\"font-size: 14px;border-color: rgb(105, 13, 3);color: rgb(255, 255, 255);overflow-wrap: break-word !important;\"><strong mpa-from-tpl=\"t\" style=\"border-color: rgb(105, 13, 3);overflow-wrap: break-word !important;\"><span style=\"padding: 0.2em 0.5em;border-color: rgb(105, 13, 3);font-weight: inherit;text-decoration: inherit;border-radius: 0.3em;text-align: center;background-color: rgb(105, 13, 3);overflow-wrap: break-word !important;\">\u5bfc\u8bed<\/span><\/strong><\/span><\/section>\n<section style=\"margin-top: -0.7em;color: rgb(105, 13, 3);font-size: 1em;border-width: 1px;border-style: solid;border-color: rgb(105, 13, 3);border-radius: 0.4em;overflow-wrap: break-word !important;\">\n<section style=\"padding: 1.4em 1em 1em;border-color: rgb(105, 13, 3);overflow-wrap: break-word !important;\">\n<section style=\"font-size: 1em;font-weight: inherit;text-align: inherit;text-decoration: inherit;border-color: rgb(105, 13, 3);overflow-wrap: break-word !important;\">\n<p><strong><span style=\"font-size: 13px;color: rgb(136, 136, 136);font-family: -webkit-standard;\">\u968f\u7740\u6df1\u5ea6\u5b66\u4e60\u7684\u53d1\u5c55\uff0c\u4eba\u4eec\u5df2\u7ecf\u4e0d\u6ee1\u8db3\u4e8e\u5c06\u6df1\u5ea6\u5b66\u4e60\u5e94\u7528\u4e8e\u4f20\u7edf\u7684\u56fe\u50cf\u3001\u58f0\u97f3\u3001\u6587\u672c\u7b49\u6570\u636e\u4e0a\uff0c\u800c\u662f\u5bf9\u66f4\u4e00\u822c\u7684\u51e0\u4f55\u5bf9\u8c61\u5982\u7f51\u7edc\u3001\u7a7a\u95f4\u70b9\u4e91\u3001\u66f2\u9762\u7b49\u5e94\u7528\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\uff0c\u8fd9\u4e00\u9886\u57df\u88ab\u79f0\u4e3a\u51e0\u4f55\u6df1\u5ea6\u5b66\u4e60\uff08Geometric deep learning\uff09\u3002\u4eba\u4eec\u5c1d\u8bd5\u5728\u4e0d\u89c4\u5219\u7684\u975e\u6b27\u6c0f\u7684\u6570\u636e\u4e0a\u6269\u5c55\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff0c\u8fd9\u4fbf\u6709\u4e86\u56fe\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08Graph Neural Network\uff09\u3001PointNet\u7b49\u65b0\u7684\u6280\u672f\u3002<\/span><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p line=\"Awlu\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<blockquote>\n<p><span style=\"color: rgb(136, 136, 136);\"><em><span style=\"font-size: 15px;\">\u672c\u6587\u63d0\u5230\u7684\u6587\u732e\uff0c\u6587\u672b\u5747\u9644\u6709\u4e0b\u8f7d\u5730\u5740<\/span><\/em><\/span><\/p>\n<\/blockquote>\n<p line=\"Awlu\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p line=\"Awlu\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">2016\u5e74\uff0cBronstein\u7684\u4e00\u7bc7\u540d\u4e3a\u300aGeometric deep learning: going beyond Euclidean data\u300b<strong>[1] <\/strong>\u7684\u6587\u7ae0\u6765\u52bf\u6c79\u6c79\uff0c\u8be5\u6587\u7684\u540e\u4e24\u4f4d\u4f5c\u8005\u5206\u522b\u662fFacebook\u524d\u4eba\u5de5\u667a\u80fd\u56e2\u961f\u535a\u58eb\u540e\u6210\u5458Joan Bruna\u548c\u73b0\u4eba\u5de5\u667a\u80fd\u8d1f\u8d23\u4ebaYann LeCun\uff0c\u8fd9\u4e5f\u7b97\u5f97\u4e0a\u662f\u5168\u660e\u661f\u9635\u5bb9\uff0c\u56e0\u6b64\u8fd9\u7bc7\u6587\u7ae0\u7684\u542b\u91d1\u91cf\u548c\u53c2\u8003\u6027\u5c31\u5f97\u4ee5\u4fdd\u8bc1\u3002<\/span><\/p>\n<p line=\"Awlu\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p line=\"Awlu\" class=\"ql-long-3721150\"><strong><span style=\"font-size: 15px;\">\u90a3\u4e48\u51e0\u4f55\u6df1\u5ea6\u5b66\u4e60\uff08Geometric deep learning\uff09\u5230\u5e95\u6307\u4ec0\u4e48\uff1f\u6709\u80fd\u5728\u54ea\u4e9b\u5e94\u7528\u4e2d\u4f53\u73b0\u4ef7\u503c\u5462\uff1f<\/span><\/strong><\/p>\n<p line=\"Awlu\" class=\"ql-long-3721150\"><br  \/><\/p>\n<section  class=\"mpa-template\" mpa-paragraph-type=\"title\" style=\"white-space: normal;\">\n<section  style=\"margin-top: 20px;display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\">\n<section   style=\"padding-right: 30px;padding-left: 30px;min-width: 60px;text-align: center;border-bottom: 2px solid rgb(232, 230, 230);\">\n<section  style=\"padding-right: 10px;padding-left: 10px;display: inline-block;font-size: 14px;color: rgb(123, 12, 0);border-bottom: 2px solid rgb(123, 12, 0);transform: translate(0px, 2px);border-top-color: rgb(123, 12, 0);border-left-color: rgb(123, 12, 0);border-right-color: rgb(123, 12, 0);\"><span style=\"font-size: 15px;\"><strong mpa-from-tpl=\"t\" style=\"border-color: rgb(123, 12, 0);\"><\/p>\n<p style=\"border-color: rgb(123, 12, 0);\"><span style=\"border-color: rgb(123, 12, 0);font-size: 16px;\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\">1\u3001\u4e3a\u4ec0\u4e48\u8981\u628a\u51e0\u4f55\u548c\u6df1\u5ea6\u5b66\u4e60\u7ed3\u5408\u8d77\u6765<\/strong><\/span><\/p>\n<p><\/strong><\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<p line=\"zVXg\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><strong class=\"ql-author-3721150 ql-size-12\"><\/strong><br  \/><\/span><\/p>\n<p line=\"swkI\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u5728\u4fe1\u606f\u5feb\u901f\u53d1\u5c55\u7684\u73b0\u4ee3\u793e\u4f1a\uff0c\u6700\u5177\u6709\u4ef7\u503c\u7684\u3001\u6700\u6838\u5fc3\u7684\u5b9d\u85cf\u662f\u6570\u636e\uff0c\u53ef\u4ee5\u8bf4\u6ca1\u6709\u6570\u636e\u5c31\u6ca1\u6709\u673a\u5668\u5b66\u4e60\u7684\u5174\u8d77\u548c\u53d1\u5c55\u3002<\/span><\/p>\n<p line=\"swkI\" class=\"ql-long-3721150\"><br  \/><\/p>\n<p style=\"text-align: center;\"><img class=\"\"         style=\"width: 100%;height: auto;\" src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/08\/swarma5-1534231293.jpeg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\"  \/><\/p>\n<p line=\"swkI\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><\/span><br  \/><\/p>\n<p line=\"swkI\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u4f46\u662f\uff0c\u53e6\u4e00\u65b9\u9762\u8ba9\u4eba\u5934\u75db\u7684\u4e5f\u662f\u6570\u636e\uff1a<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p line=\"swkI\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u4e00\u662f<strong>\u6d77\u91cf\u6570\u636e\u7684\u6e05\u7406\u672c\u8eab\u5c31\u662f\u4e00\u4ef6\u975e\u5e38\u75db\u82e6\u7684\u4e8b\u60c5<\/strong>\uff0c\u7279\u522b\u662f\u5728\u6709\u76d1\u7763\u5b66\u4e60\u7684\u6846\u67b6\u4e0b\uff0c\u6570\u636e\u548c\u6807\u7b7e\u7f3a\u4e00\u4e0d\u53ef\u3002\u5927\u591a\u6570\u60c5\u51b5\u4e0b\uff0c\u597d\u7684\u6570\u636e\u96c6\u901a\u5e38\u9700\u8981\u901a\u8fc7\u4eba\u4e3a\u6253\u6807\u7b7e\u6216\u8005\u901a\u8fc7\u4eba\u529b\u7684\u68c0\u9a8c\uff0c\u8fd9\u662f\u4e00\u4ef6\u8d39\u529b\u4e0d\u8ba8\u597d\u7684\u5de5\u4f5c\uff0c\u4f46\u4e5f\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u73af\u8282\uff1b<\/span><br  \/><\/p>\n<\/li>\n<li>\n<p line=\"swkI\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u4e8c\u662f<strong>\u6709\u5f88\u591a\u6570\u636e\u7684\u5e95\u5c42\u7ed3\u6784\u5e76\u4e0d\u662f\u57fa\u4e8e\u6b27\u51e0\u91cc\u5f97\u7a7a\u95f4\u7684\uff0c\u800c\u6211\u4eec\u719f\u6089\u7684\u8868\u73b0\u4f18\u826f\u7684\u5404\u7c7b\u7b97\u6cd5\uff0c\u4ed6\u4eec\u901a\u5e38\u53ea\u80fd\u5904\u7406\u6b27\u5f0f\u7a7a\u95f4\u7684\u6570\u636e<\/strong>\uff0c\u6bd4\u5982CNN\u5904\u7406\u7684\u56fe\u7247\u65f6\uff0c\u56fe\u7247\u5fc5\u987b\u88ab\u8868\u793a\u6210\u4ee5\u4e00\u4e2a\u89c4\u5219\u7684\u7f51\u683c\u6570\u636e\u3002<\/span><br  \/><\/p>\n<\/li>\n<\/ul>\n<p line=\"swkI\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p line=\"swkI\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u4f46\u662f\u73b0\u5b9e\u751f\u6d3b\u4e2d\uff0c\u6211\u4eec\u80fd\u591f\u901a\u8fc7\u76ee\u524d\u7684\u6d4b\u91cf\u624b\u6bb5\u83b7\u5f97\u7684\u6570\u636e\uff0c\u5b83\u4eec\u7684\u5e95\u5c42\u7ed3\u6784\u662f\u975e\u6b27\u51e0\u91cc\u5f97\u7a7a\u95f4\u7684\uff0c\u8fd9\u7c7b\u6570\u636e\u6211\u4eec\u6682\u4e14\u79f0\u4e3a\u975e\u6b27\u51e0\u4f55\u6570\u636e\uff0c\u6700\u5178\u578b\u7684\u4e24\u79cd\u975e\u6b27\u51e0\u4f55\u6570\u636e\u662f\u56fe\u548c\u6d41\u5f62\u3002<\/span><\/p>\n<p line=\"swkI\" class=\"ql-long-3721150\"><br  \/><\/p>\n<p line=\"I04z\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><\/span><\/p>\n<p style=\"text-align: center;\"><img class=\"\"       style=\"width: 100%;height: auto;\"   src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/08\/swarma0-1534231293.jpg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\"  \/><\/p>\n<p line=\"cgHj\" class=\"ql-long-3721150\" style=\"white-space: normal;text-align: center;\"><span style=\"font-size: 15px;\"><strong><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u56fe\u548c\u6d41\u5f62<\/span><\/strong><\/span><\/p>\n<p><span style=\"font-size: 15px;\"><strong><span style=\"font-size: 14px;color: rgb(136, 136, 136);\"><br  \/><\/span><\/strong><\/span><\/p>\n<p line=\"I04z\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u56fe\uff08Graph\uff09\u662f\u6307\u7684\u8282\u70b9\u3001\u8fde\u8fb9\u7ec4\u6210\u7684\u7f51\u7edc\u7ed3\u6784\u6570\u636e\uff0c\u6bd4\u5982\u793e\u4ea4\u7f51\u7edc\uff1b\u6d41\u5f62\uff08Manifold\uff09\u5219\u901a\u5e38\u7528\u4e8e\u63cf\u8ff0\u51e0\u4f55\u5f62\u4f53\uff0c\u6bd4\u5982\u96f7\u8fbe\u626b\u63cf\u8fd4\u56de\u7684\u5404\u7c7b\u7269\u4f53\u8868\u9762\u7684\u7a7a\u95f4\u5750\u6807\u3002\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c<strong>\u8fd9\u4e9b\u51e0\u4f55\u6570\u636e\u901a\u5e38\u5177\u6709\u6050\u6016\u7684\u6570\u91cf\u7ea7<\/strong>\uff0c\u5c31\u62ff\u793e\u4ea4\u7f51\u7edc\u6765\u8bf4\uff0c\u5b83\u7684\u89c4\u6a21\u8f7b\u8f7b\u677e\u677e\u5c31\u80fd\u8d85\u8fc710\u4ebf\uff0c\u5982\u679c\u8fd8\u5984\u60f3\u7528\u4f20\u7edf\u7684\u7edf\u8ba1\u65b9\u6cd5\u53bb\u5206\u6790\u548c\u9884\u6d4b\uff0c\u90a3\u5c31\u8fc7\u4e8e\u5929\u771f\u548c\u6d6a\u6f2b\u4e86\u3002\u8fd9\u5c31\u662f\u4e3a\u4ec0\u4e48\u6df1\u5ea6\u5b66\u4e60\u5728\u51e0\u4f55\u6570\u636e\u9886\u57df\u6709\u4e86\u7528\u6b66\u4e4b\u5730\u3002<\/span><\/p>\n<p line=\"I04z\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p line=\"I04z\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u90a3\u4e48\u4e0b\u9762\u5c31\u4ee5\u8be5\u9886\u57df\u7684\u4e24\u5927\u7c7b\u95ee\u9898\u4e3a\u4e3b\uff0c\u4ecb\u7ecd\u4e00\u4e9b\u51e0\u4f55\u6df1\u5ea6\u5b66\u4e60\u7684\u5e94\u7528\u573a\u666f\u548c\u5df2\u6709\u6280\u672f\u3002\u7b2c\u4e00\u7c7b\u662f3D\u56fe\u50cf\u7684\u8bc6\u522b\u548c\u5206\u5272\uff0c\u7b2c\u4e8c\u7c7b\u662f\u56fe\u4fe1\u53f7\u7684\u5904\u7406\u548c\u9884\u6d4b\u3002<\/span><\/p>\n<p line=\"I04z\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<section  class=\"mpa-template\" mpa-paragraph-type=\"title\" style=\"white-space: normal;\">\n<section  style=\"margin-top: 20px;display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\">\n<section   style=\"padding-right: 30px;padding-left: 30px;min-width: 60px;text-align: center;border-bottom: 2px solid rgb(232, 230, 230);\">\n<section  style=\"padding-right: 10px;padding-left: 10px;display: inline-block;font-size: 14px;color: rgb(123, 12, 0);border-bottom: 2px solid rgb(123, 12, 0);transform: translate(0px, 2px);border-top-color: rgb(123, 12, 0);border-left-color: rgb(123, 12, 0);border-right-color: rgb(123, 12, 0);\"><span style=\"font-size: 15px;\"><strong mpa-from-tpl=\"t\" style=\"border-color: rgb(123, 12, 0);\"><\/p>\n<p style=\"border-color: rgb(123, 12, 0);\"><span style=\"border-color: rgb(123, 12, 0);font-size: 16px;\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\">2\u30013D\u6a21\u578b\u7684\u8bc6\u522b\u548c\u5206\u5272<\/strong><\/span><\/p>\n<p><\/strong><\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<p line=\"hI5v\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><strong class=\"ql-author-3721150 ql-size-12\"><\/strong><br  \/><\/span><\/p>\n<p line=\"8LmH\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u968f\u7740\u56fe\u50cf\u5904\u7406\u7ed3\u675f\u7684\u98de\u901f\u53d1\u5c55\uff0c\u7279\u522b\u662f\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u7684\u63d0\u51fa\uff0c\u8ba92D\u56fe\u50cf\u8bc6\u522b\u7684\u7cbe\u5ea6\u8d85\u8d8a\u4e86\u4eba\u7c7b\uff0c\u4ed4\u7ec6\u60f3\u60f3\u8fd9\u662f\u4e00\u4ef6\u975e\u5e38\u4e0d\u53ef\u601d\u8bae\u7684\u4e8b\uff0c<strong>\u51b0\u51b0\u51c9\u51c9\u7684\u8ba1\u7b97\u673a\u771f\u5f97\u80fd\u591f\u6a21\u4eff\u4eba\u7c7b\u5927\u8111\u5b66\u4e60\u5982\u4f55\u770b\u4e00\u5f20\u56fe\u7247<\/strong>\u3002<\/span><\/p>\n<p line=\"8LmH\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p line=\"8LmH\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u5728\u8fd9\u91cc\uff0c\u4e00\u5b9a\u8981\u5439\u6367\u4e00\u4e0bCNN\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6784\u67b6\u7684\u9488\u5bf9\u56fe\u50cf\u7279\u5f81\u5b66\u4e60\u7684\u6709\u6548\u6027\uff0c\u5728\u4e0b\u9762\u5c06\u8981\u63d0\u5230\u7684\u6587\u7ae0\u4e2d\uff0c\u8981\u4e48\u662f\u628aCNN\u76f4\u63a5\u5e94\u7528\u5230\u7f51\u7edc\u6a21\u578b\u4e2d\uff0c\u8981\u4e48\u5c31\u662f\u6a21\u4effCNN\u63d0\u53d6\u7279\u5f81\u7684\u6a21\u5f0f\u8bbe\u8ba1\u51fa\u5fc3\u7684\u975e\u6b27\u6570\u636e\u7279\u5f81\u63d0\u53d6\u7684\u6846\u67b6\uff0c\u56e0\u6b64\u5728\u56fe\u50cf\u5904\u7406\u8fd9\u4e2a\u9886\u57df\uff0cCNN\u529f\u4e0d\u53ef\u6ca1\u3002\u57fa\u4e8e2D\u56fe\u50cf\u7684\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\uff0c\u6211\u4eec\u89c1\u8bc6\u4e86\u4e94\u82b1\u516b\u95e8\u7684\u5e94\u7528\uff0c\u6bd4\u5982\u4eba\u8138\u8bc6\u522b\u3001\u673a\u5668\u770b\u56fe\u8bf4\u8bdd\uff08\u7ed3\u5408RNN\uff09\u3001\u7269\u4f53\u68c0\u6d4b\uff08\u6bd4\u5982\u5730\u94c1\u5b89\u68c0\u626b\u63cf\u80cc\u5305\uff09\u3001\u5305\u62ec\u89c6\u9891\u4e2d\u7684\u7269\u54c1\u8ffd\u8e2a\u7b49\u3002<\/span><\/p>\n<p line=\"LBvd\"><br  \/><\/p>\n<p line=\"iM3h\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u6df1\u5ea6\u5b66\u4e60\u5728\u5927\u591a\u662f1D\uff08\u58f0\u6ce2\u4fe1\u53f7\uff09\u30012D\uff08\u56fe\u7247\uff09\u4ee5\u53ca3D\uff08\u89c6\u9891\uff09\u7b49\u6b27\u51e0\u91cc\u5f97\u7ed3\u6784\u5316\u6570\u636e\u4e2d\u8868\u73b0\u4e0d\u4fd7\uff0c\u5176\u5e94\u7528\u4e5f\u65b9\u4fbf\u4e86\u4eba\u4eec\u7684\u751f\u6d3b\uff0c\u4f46\u662f\u6709\u5f88\u591a\u95ee\u9898\u4ecd\u7136\u662f\u73b0\u6709\u6280\u672f\u65e0\u6cd5\u5904\u7406\u7684\uff0c\u5176\u4e2d\u4e00\u4e2a\u5f88\u91cd\u8981\u7684\u95ee\u9898\u5c31\u662f<strong>\u5982\u4f55\u8fdb\u884c\u7a7a\u95f4\u4e2d\u7684\u7269\u4f53\u63a2\u6d4b\u548c\u8bc6\u522b<\/strong>\uff0c\u4e5f\u5c31\u662f3D\u6a21\u578b\u7684\u8bc6\u522b\u548c\u5206\u5272\u95ee\u9898\u3002<\/span><\/p>\n<p line=\"iM3h\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p line=\"iM3h\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u8fd9\u4e2a\u6280\u672f\u6700\u76f4\u63a5\u7684\u5e94\u7528\u5c31\u662f\u673a\u5668\u4eba\u64cd\u63a7\u548c\u65e0\u4eba\u9a7e\u9a76\uff0c\u4ee5\u65e0\u4eba\u9a7e\u9a76\u4e3a\u4f8b\uff0c\u8f66\u5185\u7684\u96f7\u8fbe\u7cfb\u7edf\u4f1a\u5bf9\u8f66\u8eab\u5468\u56f4\u7684\u73af\u5883\u8fdb\u884c\u626b\u63cf\uff0c\u4f20\u56de\u5468\u56f4\u7269\u4f53\u7684\u7a7a\u95f4\u5750\u6807\uff0c\u63a5\u7740\u7247\u5224\u65ad\u969c\u788d\u7269\u548c\u884c\u4eba\u7684\u4f4d\u7f6e\uff0c\u7136\u540e\u8fdb\u884c\u5408\u7406\u7684\u8def\u7ebf\u89c4\u5212\u3002\u6211\u4eec\u9700\u8981\u5efa\u7acb\u4e00\u5957\u7f51\u7edc\u8f93\u5165\u662f\u7c7b\u4f3c\u4e8e\u7a7a\u95f4\u5750\u6807\u7684\u975e\u6b27\u51e0\u91cc\u5f97\u6570\u636e\uff0c\u8f93\u51fa\u662f\u5bf9\u7269\u4f53\u7684\u63a2\u6d4b\u6216\u8005\u5206\u5272\u3002\u4e0b\u9762\u6211\u4eec\u5c31\u4ecb\u7ecd\u4e00\u4e0b\u51e0\u79cd\u73b0\u6709\u7684\u80fd\u591f\u5b8c\u62103D\u6a21\u578b\u5206\u7c7b\u548c\u5206\u5272\u4efb\u52a1\u7684\u6280\u672f\u3002<\/span><\/p>\n<p line=\"iM3h\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><\/span><\/p>\n<p style=\"text-align: center;\"><img class=\"\"       style=\"width: 100%;height: auto;\"   src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/08\/swarma4-1534231294.jpeg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\"  \/><\/p>\n<p line=\"cgHj\" class=\"ql-long-3721150\" style=\"white-space: normal;text-align: center;\"><span style=\"font-size: 15px;\"><strong><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u65e0\u4eba\u9a7e\u9a76<\/span><\/strong><\/span><\/p>\n<p><br  \/><\/p>\n<p><br  \/><\/p>\n<p style=\"white-space: normal;\"><span style=\"color: rgb(123, 12, 0);\"><strong><span style=\"font-size: 15px;\"><strong mpa-from-tpl=\"t\" style=\"color: rgb(123, 12, 0);font-size: 15px;text-align: center;white-space: normal;border-color: rgb(123, 12, 0);\">2.1\u57fa\u4e8e\u4e09\u7ef4\u6570\u636e\u7acb\u4f53\u6805\u683c\u5316\uff08voxel-based\uff09\u6280\u672f<\/strong><\/span><\/strong><\/span><\/p>\n<p><span style=\"color: rgb(123, 12, 0);\"><strong><span style=\"font-size: 15px;\"><br  \/><\/span><\/strong><\/span><\/p>\n<p line=\"dIB8\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u8be5\u6280\u672f\u7684\u6838\u5fc3\u601d\u60f3\u662f\u628a\u8f93\u5165\u76843D\u5f62\u72b6\u6570\u636e\u8868\u793a\uff08\u6bd4\u5982\u57fa\u4e8e\u4ece\u89c6\u89c9\u4e0a\u4e0e\u573a\u666f\u7684\u8868\u9762\u7684\u8ddd\u79bb\u6784\u5efa\u7684Depth Maps\u6df1\u5ea6\u56fe\uff09\u8f6c\u5316\u4e3a\u6807\u51c6\u76843D\u7acb\u4f53\u6570\u636e\u8868\u793a\uff08volumetric representation\uff09\uff0c\u5e76\u4e14\u63d0\u51fa\u4e00\u79cd\u5bf9\u89c4\u5219\u7684\u3001\u56fa\u5b9a\u5927\u5c0f\u76843D\u7acb\u65b9\u4f53\uff08voxel grids\uff09\u8fdb\u884c\u5377\u79ef\u7684\u7f51\u7edc\u6784\u67b6\u53bb\u8fdb\u884c\u6a21\u578b\u7684\u8bc6\u522b\u548c\u5206\u5272\u4efb\u52a1\u3002\u5176\u4e2d\uff0c\u6bd4\u8f83\u5177\u6709\u4ee3\u8868\u6027\u7684\u4e00\u79cd\u7f51\u7edc\u6784\u67b6\u662f\u666e\u5229\u65af\u987f\u5927\u5b662015\u5e74\u63d0\u51fa\u7684ShapeNet<strong>[2]<\/strong>\u3002<\/span><\/p>\n<p line=\"dIB8\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p line=\"dIB8\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u5176\u5b9e\u8fd9\u79cd\u65b9\u6cd5\u7684\u601d\u8def\u53ef\u4ee5\u8bf4\u770b\u4f5c\u6a21\u62dfCNN\u5904\u7406\u4e8c\u7ef4\u56fe\u7247\u7684\u65b9\u6cd5\uff0c\u90a3\u4e48\u7b2c\u4e00\u6b65\u5c31\u662f\u628a3D\u56fe\u5f62\u8868\u793a\u6210\u4e00\u79cd\u6807\u51c6\u7684\u53ef\u5904\u7406\u7684\u5355\u4f4d\u683c\u5f0f\uff0c\u4e8e\u662f\u5c31\u6709\u4e86voxel\u7684\u6982\u5ff5\uff0c\u7c7b\u4f3c\u4e8eCNN\u5904\u7406pixel\u7684\u4fe1\u606f\u4e00\u6837\u3002<br  \/><\/span><\/p>\n<p line=\"meT5\" class=\"ql-long-3721150\"><br  \/><\/p>\n<p style=\"text-align: center;\"><img class=\"\"       style=\"width: 100%;height: auto;\"   src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/08\/swarma1-1534231294.jpg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\"  \/><\/p>\n<p line=\"meT5\" class=\"ql-long-3721150\"><br  \/><\/p>\n<p line=\"meT5\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><strong>\u8fd9\u6837\u7684\u65b9\u6cd5\u5b58\u5728\u7684\u95ee\u9898\u662f\uff0c\u8ba1\u7b97\u8fc7\u7a0b\u4e2d\u5185\u5b58\u7684\u5360\u7528\u5c06\u4f1a\u5f88\u5927\uff0c\u4e5f\u9700\u8981\u8f83\u957f\u7684\u65f6\u95f4\u53bb\u5b66\u4e60\u3002<\/strong>\u4e0e\u6b64\u76f8\u5173\u7684\u5176\u4ed6\u5de5\u4f5c\uff0c\u6bd4\u5982\uff1a<\/span><\/p>\n<ul  class=\"ql-long-3721150 list-paddingleft-2\" style=\"\">\n<li>\n<p><span style=\"font-size: 15px;\">3D-CNN\uff1a3D Convolutional Neural Networks for Landing Zone Detection from LiDAR<strong>[3]<\/strong><\/span><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 15px;\">VAE\uff1aGenerative and Discriminative Voxel Modeling with Convolutional Neural Networks<strong>[4]<\/strong><\/span><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 15px;\">VoxNet\uff1aA 3D Convolutional Neural Network for Real-Time Object Recognition<strong>[5]<\/strong><\/span><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 15px;\">ORION\uff1a Orientation-boosted Voxel Nets for 3D Object Recognition<strong>[6]<\/strong><\/span><\/p>\n<\/li>\n<\/ul>\n<p line=\"fwpa\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><\/span><\/p>\n<p line=\"fwpa\" class=\"ql-long-3721150\"><br  \/><\/p>\n<p style=\"white-space: normal;\"><strong style=\"font-size: 15px;\"><strong mpa-from-tpl=\"t\" style=\"text-align: center;border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" style=\"color: rgb(123, 12, 0);font-size: 14px;border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" style=\"color: rgb(123, 12, 0);font-size: 14px;text-align: center;white-space: normal;border-color: rgb(123, 12, 0);\"><span style=\"border-color: rgb(123, 12, 0);font-size: 15px;\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\">2.2\u57fa\u4e8e\u591a\u89c6\u89d2\u7684\u795e\u7ecf\u7f51\u7edc\u67b6\u6784\uff08multi-view\uff09\u6280\u672f<\/strong><\/span><\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n<p line=\"fwpa\" class=\"ql-long-3721150\"><br  \/><\/p>\n<p line=\"fwpa\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u533a\u522b\u4e8e\u7acb\u4f53\u5220\u683c\u5316\u7684\u65b9\u6cd5\uff0c\u591a\u89c6\u89d2\u795e\u7ecf\u7f51\u7edc\u5728\u5904\u74063D\u56fe\u50cf\u7684\u5206\u7c7b\u548c\u5206\u5272\u4efb\u52a1\u4e2d\u7684\u4e2d\u5fc3\u601d\u60f3\u662f\uff0c<strong>\u7528\u591a\u5f20\u4e0d\u540c\u89d2\u5ea62D\u7684\u56fe\u50cf\u6765\u63d0\u53d63D\u56fe\u50cf\u7684\u8868\u9762\u7279\u5f81\uff0c\u76f4\u63a5\u5904\u7406\u76f8\u5e94\u76842D\u56fe\u7247\u4fe1\u606f\u4ece\u800c\u8fdb\u884c3D\u7269\u4f53\u7684\u8bc6\u522b\u548c\u63a2\u6d4b<\/strong>\uff0c\u8fd9\u6837\u5c31\u53ef\u4ee5\u76f4\u63a5\u5229\u7528\u4e8c\u7ef4\u56fe\u50cf\u4e0a\u6210\u719f\u7684CNN\u6280\u672f\u3002\u5177\u6709\u4ee3\u8868\u6027\u7684\u5de5\u4f5c\u662f2015\u5e74\uff0c\u9a6c\u8428\u8bf8\u585e\u5927\u5b66\u57282015\u5e74\u53d1\u8868\u7684\u5de5\u4f5cMulti-view CNN<strong>[7]<\/strong>\u3002<\/span><\/p>\n<p line=\"fwpa\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p line=\"fwpa\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u8fd9\u79cd\u6280\u672f\u7684\u601d\u60f3\u5e76\u4e0d\u96be\u7406\u89e3\uff0c\u8ddf\u4eba\u7c7b\u8089\u773c\u8bc6\u522b\u7269\u4f53\u7c7b\u4f3c\uff0c\u5982\u679c\u4ece\u4e00\u4e2a\u89d2\u5ea6\u4e0a\u65e0\u6cd5\u5206\u522b\uff0c\u53ef\u4ee5\u8bd5\u7740\u4ece\u4e0d\u540c\u89d2\u5ea6\u53bb\u8fa8\u522b\uff0c\u591a\u89c6\u89d2\u89e3\u67903D\u6a21\u578b\u6280\u672f\u4e5f\u6b63\u662f\u5229\u7528\u4e86\u8fd9\u70b9\u3002\u8fd9\u9879\u6280\u672f\u53ef\u4ee5\u7528\u5728\u4e09\u7ef4\u6a21\u578b\u7684\u91cd\u5efa\u5de5\u4f5c\u4e2d\u3002<\/span><\/p>\n<p line=\"yPJV\" class=\"ql-long-3721150\"><br  \/><\/p>\n<p style=\"text-align: center;\"><img class=\"\"       style=\"width: 100%;height: auto;\"   src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/08\/swarma7-1534231294.jpg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\"  \/><\/p>\n<p line=\"yPJV\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p line=\"yPJV\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\ufeff\u5f53\u7136\u8be5\u65b9\u6cd5\u7684<strong>\u7f3a\u70b9\u662f<\/strong><strong>\u56e0\u4e3a\u7269\u4f53\u81ea\u906e\u6321\u7684\u95ee\u9898<\/strong>\uff0c\u5728\u62cd\u6444\u56fe\u7247\u662f\u4f1a\u635f\u5931\u4e00\u4e9b\u8868\u9762\u4fe1\u606f\uff0c\u5e76\u4e14\u89d2\u5ea6\u7684\u9009\u62e9\u901a\u5e38\u5177\u6709\u4eba\u5de5\u7684\u75d5\u8ff9\uff0c\u8fd9\u6837\u7684\u64cd\u4f5c\u4e0d\u4e00\u5b9a\u662f\u5b8c\u6210\u4efb\u52a1\u5fc5\u987b\u7684\u64cd\u4f5c\u3002\u76f8\u5173\u5de5\u4f5c\u5982\u4e0b\uff1a<br  \/><\/span><\/p>\n<ul  class=\"ql-long-3721150 list-paddingleft-2\" style=\"\">\n<li>\n<p><span style=\"font-size: 15px;\">GIFT: A Real-time and Scalable 3D Shape Search Engine<strong>[8]<\/strong><\/span><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 15px;\">ShapePFCN\uff1a3D Shape Segmentation with Projective Convolutional Networks<strong>[9]<\/strong><\/span><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 15px;\">Spherical Projections\uff1a3D Object Classification via Spherical Projections<strong>[10]<\/strong><\/span><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 15px;\">Local Shape Descriptors\uff1aLearning local shape descriptors with view-based convolutional neural networks.<strong>[11]<\/strong><\/span><\/p>\n<\/li>\n<\/ul>\n<p line=\"je3k\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p line=\"je3k\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u5f53\u7136\u9664\u6b64\u4e4b\u5916\uff0c\u8fd8\u6709\u4f5c\u8005\u6bd4\u8f83\u4e86\u4e24\u7c7b\u65b9\u6cd5\uff0c\u8fdb\u884c\u4e86\u5206\u522b\u7684\u6539\u8fdb\uff0c\u5e76\u6d4b\u8bd5\u4e86\u4e0d\u540c\u7684\u7f51\u7edc\u7ed3\u6784\u5bf9\u7ed3\u679c\u7684\u5f71\u54cd\u3002\u503c\u5f97\u4e00\u63d0\u7684\u662f\u4e0b\u6587\u7684\u4f5c\u8005Charles R. Qi\uff0c\u4e5f\u6b63\u662f\u6700\u65b0\u7684\u57fa\u4e8e\u70b9\u4e91\u8bc6\u522b3D\u56fe\u5f62\u7684\u6280\u672f\u7684\u63d0\u8d77\u4eba\u3002<\/span><\/p>\n<ul  class=\"ql-long-3721150 list-paddingleft-2\" style=\"\">\n<li>\n<p><span style=\"font-size: 15px;\">Volumetric and Multi-View CNNs for Object Classification on 3D Data<strong>[12]<\/strong><\/span><\/p>\n<\/li>\n<\/ul>\n<p line=\"xJrq\"><br  \/><\/p>\n<p style=\"white-space: normal;\"><strong style=\"font-size: 15px;\"><strong mpa-from-tpl=\"t\" style=\"text-align: center;border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" style=\"color: rgb(123, 12, 0);font-size: 14px;border-color: rgb(123, 12, 0);\"><span mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" style=\"color: rgb(123, 12, 0);font-size: 14px;text-align: center;white-space: normal;border-color: rgb(123, 12, 0);\"><\/strong><\/strong><\/span><\/strong><\/strong><\/strong><\/p>\n<p style=\"border-color: rgb(123, 12, 0);display: inline !important;\"><strong style=\"font-size: 15px;\"><strong mpa-from-tpl=\"t\" style=\"text-align: center;border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" style=\"color: rgb(123, 12, 0);font-size: 14px;border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" style=\"color: rgb(123, 12, 0);font-size: 14px;text-align: center;white-space: normal;border-color: rgb(123, 12, 0);\"><span style=\"border-color: rgb(123, 12, 0);font-size: 15px;\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\">2.3\u57fa\u4e8e\u70b9\u4e91\u7684\u795e\u7ecf\u7f51\u7edc\u6846\u67b6\uff08point-based\uff09\u6280\u672f<\/strong><\/span><\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n<p><strong style=\"font-size: 15px;\"><strong mpa-from-tpl=\"t\" style=\"text-align: center;border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" style=\"color: rgb(123, 12, 0);font-size: 14px;border-color: rgb(123, 12, 0);\"><span mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\"><br  \/><\/strong><\/span><\/strong><\/strong><\/strong><\/p>\n<p line=\"Sx2w\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u65e0\u8bba\u662f\u57fa\u4e8e\u7acb\u4f53\u5220\u683c\u5316\u6280\u672f\uff0c\u8fd8\u662f\u57fa\u4e8e\u591a\u89c6\u89d2\u6280\u672f\uff0c\u5b83\u4eec\u90fd\u9700\u8981\u5bf9\u539f\u59cb\u76843D\u6570\u636e\u8fdb\u884c\u4e00\u4e9b\u4e86\u7684\u91cd\u65b0\u5207\u5272\u6216\u8005\u662f\u6620\u5c04\u52302D\u7a7a\u95f4\uff0c\u800c\u70b9\u4e91\u6280\u672f\u4e0e\u4ed6\u4eec\u6700\u5927\u7684\u4e0d\u540c\uff0c\u5728\u4e0e\u4ed6\u53ef\u4ee5<strong>\u76f4\u63a5\u5904\u7406\u539f\u59cb\u7684\u4e09\u7ef4\u56fe\u5f62\u8868\u9762\u7684\u7a7a\u95f4\u5750\u6807<\/strong>\u3002<\/span><\/p>\n<p line=\"Sx2w\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p line=\"Sx2w\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u5982\u679c\u8f93\u5165\u6570\u67d0\u7269\u4f53\u4e09\u7ef4\u7a7a\u95f4\u7684\u70b9\u4e91\u5219\u8f93\u51fa\u5bf9\u8be5\u70b9\u4e91\u7684\u9884\u6d4b\uff1b\u5728\u573a\u666f\u5206\u5272\u4efb\u52a1\u4e2d\uff0c\u5219\u5206\u522b\u9884\u6d4b\u51fa\u6bcf\u4e00\u4e2a\u70b9\u7684\u5206\u7c7b\u3002\u8be5\u6280\u672f\u76f8\u6bd4\u4ee5\u4e0a\u4e24\u79cd\u6280\u672f\u66f4\u65b0\uff0c\u5e76\u4e14\u53ef\u4ee5\u7ed3\u5408\u7f51\u7edc\u7684\u8868\u5f81\u5b66\u4e60\u5728\u8282\u70b9\u5206\u7c7b\u3001\u56fe\u5206\u7c7b\u9886\u57df\u63d0\u4f9b\u65b0\u7684\u601d\u8def\u3002\u5f00\u7bc7\u4e4b\u4f5c\u662f\u65af\u5766\u798f\u5927\u5b66\uff08Charles R. Qi\uff092017\u5e74\u53d1\u5e03\u7684<span  style=\"font-size: 15px;caret-color: rgb(0, 0, 0);font-family: -webkit-standard;text-size-adjust: auto;\">PointNet<strong>[13]<\/strong>\u6784\u67b6\u3002<\/span><\/span><\/p>\n<p line=\"Sx2w\" class=\"ql-long-3721150\"><br  \/><\/p>\n<p style=\"text-align: center;\"><img class=\"\"       style=\"width: 100%;height: auto;\"   src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/08\/swarma8-1534231294.jpg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\"  \/><\/p>\n<p line=\"Sx2w\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p line=\"Sx2w\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u63a5\u77402017\u5e74\u5e95\u4f5c\u8005\u5728\u539f\u6709\u6846\u67b6\u4e2d\uff0c\u6a21\u4effCNN\u4e2d\u5c42\u7ea7\u6027\u7684\u7279\u5f81\u63d0\u53d6\u601d\u60f3\uff0c\u63d0\u51fa\u4e86PointNet++<strong>[14]<\/strong>\u6784\u67b6\uff0c\u518d\u4e00\u6b21\u63d0\u9ad8\u4e86\u5206\u7c7b\u548c\u5206\u5272\u4efb\u52a1\u7684\u7cbe\u5ea6\u3002<\/span><\/p>\n<p line=\"Wc1Q\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><\/span><\/p>\n<p style=\"text-align: center;\"><img class=\"\"       style=\"width: 100%;height: auto;\"   src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/08\/swarma9-1534231294.jpg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\"  \/><\/p>\n<p style=\"text-align: center;\"><br  \/><\/p>\n<p line=\"Wc1Q\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u5f53\u7136\u8fd9\u79cd\u65b9\u6cd5\u6700\u5927\u7684\u95ee\u9898<strong>\u6839\u636e\u4e09\u7ef4\u70b9\u63d0\u53d6\u7684\u7269\u4f53\u8868\u9762\u7684\u4fe1\u606f\u53ef\u80fd\u4e0e\u771f\u662f\u60c5\u51b5\u5b58\u5728\u504f\u5dee\uff0c\u70b9\u4e91\u7684\u91c7\u96c6\u548c\u53d6\u6837\u65b9\u6cd5\u90fd\u4f1a\u5f71\u54cd\u7ed3\u679c<\/strong>\u3002\u56e0\u6b64\u4e5f\u6709\u4e0d\u5c11\u9488\u5bf9\u8be5\u7c7b\u578b\u65b9\u6cd5\u7684\u6539\u8fdb\uff1a<br  \/><\/span><\/p>\n<ul  class=\"ql-long-3721150 list-paddingleft-2\" style=\"\">\n<li>\n<p style=\"white-space: normal;\"><span style=\"font-size: 15px;\">Frustum PointNets\uff1aFrustum PointNets for 3D Object Detection from RGB-D Data<strong>[15]<\/strong><\/span><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 15px;\">Neighbors help\uff1aNeighbors Do Help: Deeply Exploiting Local Structures of Point Clouds<strong>[16]<\/strong><\/span><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 15px;\">PU-Net\uff1aPoint Cloud Upsampling Network<strong>[17]<\/strong><\/span><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 15px;\">Recurrent Slice Networks\uff1aRecurrent Slice Networks for 3D Segmentation on Point Clouds<strong>[18]<\/strong><\/span><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 15px;\">SPLATNet\uff1aSPLATNet: Sparse Lattice Networks for Point Cloud Processing<strong>[19]<\/strong><\/span><\/p>\n<\/li>\n<\/ul>\n<section  class=\"mpa-template\" mpa-paragraph-type=\"title\" style=\"white-space: normal;\">\n<section  style=\"margin-top: 20px;display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\">\n<section   style=\"padding-right: 30px;padding-left: 30px;min-width: 60px;text-align: center;border-bottom: 2px solid rgb(232, 230, 230);\">\n<section  style=\"padding-right: 10px;padding-left: 10px;display: inline-block;font-size: 14px;color: rgb(123, 12, 0);border-bottom: 2px solid rgb(123, 12, 0);transform: translate(0px, 2px);border-top-color: rgb(123, 12, 0);border-left-color: rgb(123, 12, 0);border-right-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" style=\"border-color: rgb(123, 12, 0);\"><\/p>\n<p style=\"border-color: rgb(123, 12, 0);\"><span style=\"border-color: rgb(123, 12, 0);font-size: 16px;\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\"><br  \/><\/strong><\/span><\/p>\n<p style=\"border-color: rgb(123, 12, 0);\"><span style=\"border-color: rgb(123, 12, 0);font-size: 16px;\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\">3\u3001\u56fe\u4fe1\u53f7\u7684\u5904\u7406\u548c\u9884\u6d4b<\/strong><\/span><\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<p line=\"c3LK\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><strong class=\"ql-author-3721150 ql-size-12\"><\/strong><\/span><br  \/><\/p>\n<p line=\"cgHj\" class=\"ql-long-3721150\"><strong><span style=\"font-size: 15px;\">\u53e6\u4e00\u7c7b\u975e\u6b27\u51e0\u4f55\u6570\u636e\u5c31\u662f\u56fe\uff0c<\/span><\/strong><span style=\"font-size: 15px;\">\u8fd9\u7c7b\u6570\u636e\u6700\u5927\u7684\u7279\u70b9\u662f\u4ed6\u4eec\u5e95\u5c42\u7ed3\u6784\u662f\u4e00\u4e2a\u7531\u8282\u70b9\u548c\u8fde\u8fb9\u7ec4\u6210\u7684\u7f51\u7edc\uff0c\u6bd4\u5982\u793e\u4ea4\u7f51\u7edc\u4e2d\u4eba\u662f\u8282\u70b9\u3001\u7528\u6237\u4e4b\u95f4\u7684\u4e92\u52a8\u6bd4\u5982\u5173\u6ce8\u3001\u559c\u6b22\u7b49\u5c31\u6784\u6210\u4e86\u8fde\u8fb9\u3002\u8fd9\u6837\u7684\u62bd\u8c61\u65b9\u6cd5\u53ef\u4ee5\u89e3\u51b3\u5f88\u591a\u771f\u5b9e\u4e16\u754c\u4e2d\u4fe1\u53f7\u4f20\u64ad\u7684\u95ee\u9898\u3002<\/span><\/p>\n<p line=\"cgHj\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p line=\"cgHj\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u6bd4\u5982\u5728\u4f20\u611f\u5668\u7f51\u7edc\u4e2d\uff0c\u56fe\u50cf\u6a21\u578b\u662f\u7531\u5206\u5e03\u5f0f\u4e92\u8fde\u4f20\u611f\u5668\u6784\u6210\uff0c\u5176\u8bfb\u6570\u5373\u4e3a\u7f51\u7edc\u4e2d\u7684\u4fe1\u53f7\uff0c\u8fd9\u4e2a\u4fe1\u53f7\u662f\u5206\u5e03\u5728\u7f51\u7edc\u4e2d\u6bcf\u4e00\u4e2a\u8282\u70b9\u4e0a\uff1b\u5728\u9057\u4f20\u5b66\u4e2d\uff0c\u6211\u4eec\u77e5\u9053\u57fa\u56e0\u63a7\u5236\u8fd9\u86cb\u767d\u8d28\u7684\u8868\u8fbe\uff0c\u800c\u57fa\u56e0\u7ec4\u6210\u7684\u7f51\u7edc\u6210\u4e3a\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\uff0c\u6bcf\u4e2a\u57fa\u56e0\u8282\u70b9\u90fd\u6709\u4e00\u4e2a\u4fe1\u53f7\u503c\uff0c\u5728\u4e0d\u540c\u65f6\u95f4\u6b65\u8fd9\u4e2a\u4fe1\u53f7\u503c\u53ef\u80fd\u4f1a\u53d1\u751f\u53d8\u5316\uff0c\u8fdb\u800c\u6307\u6325\u4e0d\u540c\u86cb\u767d\u8d28\u7684\u5f62\u6210\u3002<\/span><\/p>\n<p line=\"cgHj\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p line=\"cgHj\" class=\"ql-long-3721150\" style=\"text-align: center;\"><img class=\"\"         style=\"width: 100%;height: auto;\" src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/08\/swarma0-1534231294.jpeg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\"  \/><br  \/><\/p>\n<p line=\"cgHj\" class=\"ql-long-3721150\" style=\"text-align: center;\"><span style=\"font-size: 15px;\"><strong style=\"text-align: center;white-space: normal;\"><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc<\/span><\/strong><\/span><\/p>\n<p line=\"cgHj\" class=\"ql-long-3721150\" style=\"text-align: center;\"><span style=\"font-size: 15px;\"><strong style=\"text-align: center;white-space: normal;\"><span style=\"font-size: 14px;color: rgb(136, 136, 136);\"><br  \/><\/span><\/strong><\/span><\/p>\n<p line=\"ZlRN\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u5bf9\u4e8e\u8fd9\u6837\u7684\u56fe\u4fe1\u53f7\uff0c\u7531\u4e8e\u5b83\u5e95\u5c42\u7684\u6570\u636e\u7ed3\u6784\u7684\u7279\u6b8a\u6027\uff0c\u4ee5\u5f80\u7684\u4fe1\u53f7\u5904\u7406\u65b9\u5f0f\u662f\u5931\u6548\u7684\uff0c\u4e8e\u662f\u57282011\u5e74\u5de6\u53f3\u8bde\u751f\u4e86<strong>\u4ee5\u56fe\u5085\u91cc\u53f6\u53d8\u6362\uff08Graph Fourier Transform\uff09\u4e3a\u57fa\u7840\u7684\u56fe\u4fe1\u53f7\u5904\u7406\uff08Graph Signal Processing\uff09\u7406\u8bba<\/strong>\uff0c\u5176\u601d\u60f3\u7c7b\u4f3c\u4e8e\u666e\u901a\u7684\u4fe1\u53f7\u5904\u7406\uff0c\u5c06\u5b9e\u57df\u4e0a\u7684\u4fe1\u53f7\u8f6c\u5316\u4e3a\u8c31\u57df\u8868\u793a\uff0c\u7136\u540e\u5728\u8c31\u57df\u4e0a\u5b8c\u6210\u5176\u4ed6\u5de5\u4f5c\u3002\u800c\u8fdb\u4e00\u6b65\uff0c\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\u4eec\u5957\u7528CNN\u7684\u601d\u60f3\u5b9a\u4e49\u4e86\u56fe\u4e0a\u7684\u5377\u79ef\uff08Graph Convolution\uff09\u64cd\u4f5c\uff0c\u642d\u914d\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u9010\u6e10\u6211\u4eec\u80fd\u591f\u5b9e\u73b0\u56fe\u7ed3\u6784\u6570\u636e\u8868\u5f81\u5b66\u4e60\u4ee5\u53ca\u56fe\u4e0a\u4fe1\u53f7\u7684\u9884\u6d4b\u7b49\u56fe\u7ed3\u6784\u7684\u51e0\u4f55\u6df1\u5ea6\u5b66\u4e60\u3002<\/span><\/p>\n<p line=\"5bjs\"><br  \/><\/p>\n<p line=\"Z78j\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u5f53\u7136\u76ee\u524d\u6765\u8bf4\uff0c\u8be5\u65b9\u6cd5\u6700\u5927\u7684\u5f0a\u7aef\u5728\u4e8e\u6570\u636e\u7684<strong>\u5e95\u5c42\u7ed3\u6784<\/strong>\uff0c\u4e5f\u5c31\u662f\u56fe\u7684\u62d3\u6251\u7ed3\u6784\u5bf9\u6570\u636e\u7684\u8c31\u57df\u8868\u8fbe\u5f71\u54cd\u6bd4\u8f83\u5927\uff08\u56e0\u4e3a\u5728\u56fe\u5085\u91cc\u53f6\u53d8\u6362\u4e2d\u7528\u5230\u4e86\u56fe\u7684\u62c9\u666e\u62c9\u65af\u77e9\u9635\uff0c\u5b83\u4e0e\u7f51\u7edc\u7684\u90bb\u63a5\u77e9\u9635\u6709\u5173\uff0c\u90bb\u63a5\u77e9\u9635\u5b9a\u4e49\u4e86\u56fe\u7684\u5e95\u5c42\u7ed3\u6784\uff09\uff0c\u56e0\u6b64\u5b83\u65e0\u6cd5\u8fc1\u79fb\u5230\u4e0d\u540c\u56fe\u7ed3\u6784\u7684\u7f51\u7edc\u6a21\u578b\u4e2d\u3002<\/span><\/p>\n<p line=\"Z78j\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p line=\"Z78j\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u5c31\u73b0\u76ee\u524d\u7684\u53d1\u8868\u7684\u5de5\u4f5c\u6765\u8bf4\uff0c\u5927\u591a\u6570\u57fa\u4e8e\u56fe\u7ed3\u6784\u7684\u6df1\u5ea6\u5b66\u4e60\uff0c\u90fd\u662f\u4e3a\u4e86\u8fdb\u884c\u56fe\u4e0a\u8282\u70b9\u7684\u8868\u5f81\u5b66\u4e60\uff0c\u4e5f\u5c31\u662f\u628a\u8282\u70b9\u8868\u793a\u6210\u4e00\u4e2a\u9ad8\u7ef4\u7684\u5411\u91cf\uff0c\u5728\u6b64\u57fa\u7840\u4e0a\u5c06\u8fdb\u884c\u7f51\u7edc\u4e0a\u8282\u70b9\u7684\u5206\u7c7b\u4efb\u52a1\u6216\u8005\u805a\u7c7b\u4efb\u52a1\u7b49\u3002\u4e0b\u9762\u6211\u4eec\u4ecb\u7ecd\u51e0\u7bc7\u6709\u4ee3\u8868\u6027\u7684\u5de5\u4f5c\u3002<\/span><\/p>\n<p line=\"HkcM\"><br  \/><\/p>\n<ol class=\"list-paddingleft-2\" style=\"list-style-type: decimal;\">\n<li>\n<p><span style=\"color: rgb(123, 12, 0);\"><strong><span style=\"font-size: 15px;\">\u56fe\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u9996\u6b21\u63d0\u51fa<\/span><\/strong><\/span><span style=\"font-size: 15px;\">\uff1a\u5c06CNN\u4e2d\u7684\u5377\u79ef\u3001\u6c60\u5316\u7b49\u64cd\u4f5c\u62d3\u5c55\u5230\u4e86\u56fe\u7ed3\u6784\u6570\u636e\u4e2d\uff0c\u8f93\u5165\u662f\u56fe\u4ee5\u53ca\u56fe\u4e0a\u7684\u4fe1\u53f7\uff0c\u8f93\u51fa\u662f\u5bf9\u6bcf\u4e00\u4e2a\u56fe\u4e0a\u7684\u8282\u70b9\u7684\u5206\u7c7b\uff08\u4fe1\u53f7\u7684\u5206\u7c7b\uff09\u3002<\/span><\/p>\n<p><span style=\"font-size: 15px;\"><\/span><\/p>\n<p line=\"s3gI\" class=\"ql-long-3721150\" style=\"white-space: normal;\"><span style=\"font-size: 15px;\">GCN\uff1aConvolutional Neural Networks on Graphs with Fast Localized Spectral Filtering<strong>[20]<\/strong><\/span><\/p>\n<p line=\"jerA\" class=\"ql-long-3721150\" style=\"white-space: normal;\"><br  \/><\/p>\n<p style=\"white-space: normal;text-align: center;\"><img class=\"\"         style=\"width: 100%;height: auto;\" src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/08\/swarma4-1534231294.jpg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\"  \/><\/p>\n<p style=\"white-space: normal;text-align: center;\"><br  \/><\/p>\n<p style=\"white-space: normal;text-align: center;\"><br  \/><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 15px;\"><strong style=\"white-space: normal;\"><span style=\"font-size: 15px;color: rgb(123, 12, 0);\">\u56fe\u5377\u79ef\u7f51\u7edc\u4e2d\u7684\u534a\u76d1\u7763\u5b66\u4e60<\/span><\/strong><span style=\"font-size: 15px;\">\uff1a\u7528\u4e86\u4e00\u79cd\u534a\u76d1\u7763\u5b66\u4e60\u7684\u65b9\u6cd5\u53bb\u8fd1\u4f3c\u5728\u539f\u5148\u56fe\u5377\u79ef\u64cd\u4f5c\u4e2d\u7684\u5377\u79ef\u6838\uff0c\u6539\u826f\u4e86\u539f\u5148\u7684\u56fe\u5377\u79ef\u7b97\u6cd5<\/span><\/span><\/p>\n<p><span style=\"font-size: 15px;\"><span style=\"font-size: 15px;\"><\/span>Semi-supervised GCN\uff1a&nbsp;Semi-Supervised Classification with Graph Convolutional Networks<\/span><strong style=\"font-size: 15px;\">[21]<\/strong><\/p>\n<p style=\"white-space: normal;text-align: center;\"><img class=\"\"         style=\"width: 100%;height: auto;\" src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/08\/swarma1-1534231294-1.jpg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\"  \/><\/p>\n<p line=\"NvmW\" class=\"ql-long-3721150\" style=\"white-space: normal;\"><br  \/><\/p>\n<\/li>\n<li>\n<p><strong style=\"font-size: 15px;\"><strong style=\"white-space: normal;\"><span style=\"font-size: 15px;color: rgb(123, 12, 0);\">\u56fe\u5377\u79ef\u7f51\u7edc\u5728\u63a8\u8350\u7cfb\u7edf\u4e2d\u7684\u5e94\u7528<\/span><\/strong><span style=\"font-size: 15px;\">\uff1aGeometric Matrix Completion with Recurrent Multi-Graph Neural Networks<strong>[22]<\/strong><\/span><\/strong><\/p>\n<p><strong style=\"font-size: 15px;\"><span style=\"font-size: 15px;\"><\/span><\/strong><\/p>\n<p><strong style=\"font-size: 15px;\"><span style=\"font-size: 15px;\"><\/span><\/strong><\/p>\n<\/li>\n<li>\n<p><strong><span style=\"font-size: 15px;color: rgb(123, 12, 0);\">\u56fe\u6ce8\u610f\u529b\u6a21\u578b<\/span><\/strong><span style=\"font-size: 15px;\">\uff1a\u5c06\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e2d\u6ce8\u610f\u529b\u673a\u5236\u7ed3\u5408\u5230\u56fe\u7ed3\u6784\u6570\u636e\u7684\u65b0\u578b\u56fe\u51e0\u4f55\u6570\u636e\u5b66\u4e60\uff0c\u6216\u8005\u8bf4\u5b83\u8003\u8651\u4e86\u5e95\u5c42\u7f51\u7edc\u7ed3\u6784\u4e2d\u8282\u70b9\u7684\u4e00\u9636\u90bb\u548c\u4e8c\u9636\u90bb\u7684\u91cd\u8981\u7a0b\u5ea6\uff0c\u56e0\u6b64\u5f97\u5230\u7684\u7279\u5f81\u8868\u793a\u66f4\u6709\u6548\u3002<\/span><\/p>\n<p><span style=\"font-size: 15px;\">GAT\uff1aGraph Attention Networks<\/span><strong style=\"font-size: 15px;\">[23]<\/strong><\/p>\n<p><strong style=\"font-size: 15px;\"><\/strong><img class=\"\"         style=\"text-align: center;width: 100%;height: auto;\" src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/08\/swarma10-1534231295.jpg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\"  \/><\/p>\n<\/li>\n<\/ol>\n<p line=\"QejF\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><\/span><\/p>\n<p line=\"Qs5v\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u4e8b\u5b9e\u4e0aDeepMind\u56e2\u961f\u4e5f\u5f00\u59cb\u5173\u6ce8\u56fe\u4e0a\u7684\u6df1\u5ea6\u5b66\u4e60\uff0c\u5728\u524d\u4e0d\u4e45\u53d1\u8868\u4e86\u4e00\u7bc7\u540d\u4e3a\u300aLearning Deep Generative Models of Graphs&nbsp;\u300b<strong>[24]&nbsp;<\/strong>\u7684\u6587\u7ae0\uff0c<strong>\u6587\u7ae0\u63d0\u51fa\u4e86\u4e00\u79cd\u5229\u7528\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u751f\u6210\u7f51\u7edc\u7ed3\u6784\u7684\u65b0\u6846\u67b6<\/strong>\uff0c\u4ed6\u7684\u9002\u7528\u8303\u56f4\u53ef\u4ee5\u5e94\u7528\u5728\u5236\u836f\u3001\u81ea\u7136\u8bed\u8a00\u751f\u6210\u7b49\u9886\u57df\u3002\u8bf4\u4e0d\u5b9a\u518d\u8fc7\u51e0\u5e74\uff0c\u673a\u5668\u4eba\u5c31\u53ef\u4ee5\u5728\u5236\u836f\u9886\u57df\u5927\u5c55\u8eab\u624b\uff0c\u751f\u6210\u66f4\u6709\u6548\u7684\u5316\u5b66\u5206\u5b50\u7ed3\u6784\uff0c\u4ece\u800c\u6cbb\u7597\u7591\u96be\u6742\u75c7\u54df\uff5e<\/span><\/p>\n<p line=\"pElD\"><br  \/><\/p>\n<p line=\"uyKZ\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\">\u4ee5\u4e0a\u5c31\u662f\u51e0\u4f55\u6df1\u5ea6\u5b66\u4e60\u7684\u4e00\u4e9b\u68b3\u7406\u548c\u6574\u7406\uff0c\u8fd9\u4e2a\u5206\u652f\u7684\u53d1\u5c55\u53ef\u4ee5\u8ba9\u6211\u4eec\u5927\u80c6\u7684\u5e7b\u60f3\u4e00\u4e0b\u672a\u6765\u7684\u667a\u80fd\u4e16\u754c\uff0c\u65e0\u4eba\u9a7e\u9a76\u4f7f\u5f97\u8def\u4e0a\u4ea4\u901a\u66f4\u89c4\u8303\u800c\u6709\u5e8f\uff0c\u4e5f\u6d88\u9664\u4e86\u9189\u9152\u9a7e\u9a76\u3001\u75b2\u52b3\u9a7e\u9a76\u7b49\u4e00\u4e9b\u4e86\u4eba\u4e3a\u7684\u5b89\u5168\u9690\u60a3\uff1b\u667a\u80fd\u673a\u5668\u4eba\u4ee3\u66ff\u5355\u8c03\u800c\u91cd\u590d\u7684\u4eba\u529b\u52b3\u52a8\uff0c\u751a\u81f3\u53ef\u4ee5\u53c2\u4e0e\u5236\u836f\u7b49\u9ad8\u7cbe\u7aef\u9886\u57df\u5c06\u5927\u6570\u636e\u7684\u4ef7\u503c\u53d1\u6325\u5230\u6700\u5927\u3002\u5c3d\u7ba1\u5728\u79d1\u6280\u7684\u53d1\u5c55\u4e2d\uff0c\u4e0d\u4f1a\u4e00\u5e06\u98ce\u987a\uff0c\u603b\u6709\u8270\u96be\u9669\u963b\uff0c\u4f46\u662f\u4eba\u7c7b\u7684\u667a\u6167\u4ece\u6765\u4e0d\u6b62\u6b65\u4e8e\u4e0d\u53ef\u80fd\uff0c\u53cd\u6b63\u5c31\u662f\u65e5\u5e38\u505a\u505a\u68a6\uff0c\u79d1\u6280\u4e07\u5c81\uff5e<\/span><\/p>\n<p line=\"uyKZ\" class=\"ql-long-3721150\"><span style=\"font-size: 15px;\"><\/span><\/p>\n<section  class=\"mpa-template\" mpa-paragraph-type=\"title\" style=\"white-space: normal;\">\n<section  style=\"margin-top: 20px;display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\">\n<section   style=\"padding-right: 30px;padding-left: 30px;min-width: 60px;text-align: center;border-bottom: 2px solid rgb(232, 230, 230);\">\n<section  style=\"padding-right: 10px;padding-left: 10px;display: inline-block;font-size: 14px;color: rgb(123, 12, 0);border-bottom: 2px solid rgb(123, 12, 0);transform: translate(0px, 2px);border-top-color: rgb(123, 12, 0);border-left-color: rgb(123, 12, 0);border-right-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" style=\"border-color: rgb(123, 12, 0);\"><\/p>\n<p style=\"border-color: rgb(123, 12, 0);\"><span style=\"border-color: rgb(123, 12, 0);font-size: 16px;\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\">4\u3001\u53c2\u8003\u6587\u732e<\/strong><\/span><\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<p><br  \/><\/p>\n<p><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[1]Geometric deep learning: going beyond Euclidean data\uff1ahttps:\/\/arxiv.org\/pdf\/1611.08097.pdf<\/span><\/p>\n<p style=\"white-space: normal;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[2]ShapeNet\uff1ahttp:\/\/3dshapenets.cs.princeton.edu\/paper.pdf<\/span><\/p>\n<p style=\"white-space: normal;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[3]3D-CNN\uff1a3D Convolutional Neural Networks for Landing Zone Detection from LiDAR\uff1ahttps:\/\/www.ri.cmu.edu\/pub_files\/2015\/3\/maturana-root.pdf<\/span><\/p>\n<p><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[4]VAE\uff1aGenerative and Discriminative Voxel Modeling with Convolutional Neural Networks\uff1ahttps:\/\/arxiv.org\/pdf\/1608.04236.pdf<\/span><\/p>\n<p><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[5]VoxNet\uff1aA 3D Convolutional Neural Network for Real-Time Object Recognition\uff1ahttps:\/\/www.ri.cmu.edu\/pub_files\/2015\/9\/voxnet_maturana_scherer_iros15.pdf<\/span><\/p>\n<p><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[6]ORION\uff1a Orientation-boosted Voxel Nets for 3D Object Recognition\uff1ahttps:\/\/arxiv.org\/pdf\/1604.03351.pdf<\/span><\/p>\n<p style=\"white-space: normal;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[7]Multi-view CNN\uff1ahttp:\/\/vis-www.cs.umass.edu\/mvcnn\/docs\/su15mvcnn.pdf<\/span><\/p>\n<p style=\"white-space: normal;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[8]GIFT: A Real-time and Scalable 3D Shape Search Engine\uff1ahttp:\/\/suo.im\/4rNPZi<\/span><\/p>\n<p><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[9]ShapePFCN\uff1a3D Shape Segmentation with Projective Convolutional Networks\uff1ahttp:\/\/suo.im\/5irmbO<\/span><\/p>\n<p><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[10]Spherical Projections\uff1a3D Object Classification via Spherical Projections\uff1ahttp:\/\/suo.im\/4GQgv6<\/span><\/p>\n<p><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[11]Local Shape Descriptors\uff1aLearning local shape descriptors with view-based convolutional neural networks.\uff1ahttps:\/\/arxiv.org\/pdf\/1706.04496.pdf<\/span><\/p>\n<p><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[12]Volumetric and Multi-View CNNs for Object Classification on 3D Data\uff1ahttp:\/\/suo.im\/53szCy<\/span><\/p>\n<p style=\"white-space: normal;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[13]<span style=\"font-size: 15px;color: rgb(136, 136, 136);font-family: -webkit-standard;\">PointNet\uff1ahttps:\/\/arxiv.org\/pdf\/1612.00593.pdf<\/span><\/span><\/p>\n<p style=\"white-space: normal;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[14]PointNet++\uff1ahttps:\/\/arxiv.org\/pdf\/1706.02413.pdf<\/span><\/p>\n<p style=\"white-space: normal;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[15]Frustum PointNets\uff1aFrustum PointNets for 3D Object Detection from RGB-D Data\uff1ahttps:\/\/arxiv.org\/pdf\/1711.08488.pdf<\/span><\/p>\n<p><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[16]Neighbors help\uff1aNeighbors Do Help: Deeply Exploiting Local Structures of Point Clouds\uff1ahttps:\/\/arxiv.org\/pdf\/1712.06760v1.pdf<\/span><\/p>\n<p><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[17]PU-Net\uff1aPoint Cloud Upsampling Network\uff1ahttps:\/\/arxiv.org\/pdf\/1801.06761.pdf<\/span><\/p>\n<p><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[18]Recurrent Slice Networks\uff1aRecurrent Slice Networks for 3D Segmentation on Point Clouds\uff1ahttps:\/\/arxiv.org\/pdf\/1802.04402.pdf<\/span><\/p>\n<p><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[19]SPLATNet\uff1aSPLATNet: Sparse Lattice Networks for Point Cloud Processing\uff1ahttps:\/\/export.arxiv.org\/pdf\/1802.08275<\/span><\/p>\n<p style=\"white-space: normal;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[20]GCN\uff1aConvolutional Neural Networks on Graphs with Fast Localized Spectral Filtering\uff1ahttps:\/\/arxiv.org\/pdf\/1606.09375.pdf<\/span><\/p>\n<p style=\"white-space: normal;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[21]Semi-supervised GCN\uff1a&nbsp;Semi-Supervised Classification with Graph Convolutional Networks\uff1ahttp:\/\/arxiv.org\/abs\/1609.02907\u3001<\/span><\/p>\n<p style=\"white-space: normal;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[22]Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks\uff1ahttps:\/\/arxiv.org\/pdf\/1704.06803.pdf<\/span><\/p>\n<p style=\"white-space: normal;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">[23]GAT\uff1aGraph Attention Networks\uff1ahttps:\/\/openreview.net\/pdf?id=rJXMpikCZ<\/span><\/p>\n<p style=\"white-space: normal;\"><span style=\"font-size: 15px;\"><span style=\"font-size: 15px;color: rgb(136, 136, 136);\">[24]Learning Deep Generative Models of Graphs\uff1a<\/span><span style=\"font-size: 15px;color: rgb(136, 136, 136);text-decoration: none;\">&nbsp;<\/span><span style=\"font-size: 15px;color: rgb(136, 136, 136);\">https:\/\/arxiv.org\/pdf\/1803.03324.pdf<\/span><\/span><\/p>\n<p style=\"white-space: normal;\"><span style=\"font-size: 15px;color: rgb(136, 136, 136);\"><\/span><br  \/><\/p>\n<p style=\"white-space: normal;\"><br  \/><\/p>\n<blockquote>\n<p style=\"white-space: normal;\"><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u7f16\u8f91\uff1a\u5c0f\u98ce<\/span><br  \/><\/p>\n<\/blockquote>\n<section class=\"mpa-template\"    style=\"white-space: normal;\">\n<section  style=\"margin-top: 20px;display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\">\n<section   style=\"padding-right: 30px;padding-left: 30px;min-width: 60px;text-align: center;border-bottom: 2px solid rgb(232, 230, 230);\">\n<section  style=\"padding-right: 10px;padding-left: 10px;display: inline-block;font-size: 14px;color: rgb(123, 12, 0);border-bottom: 2px solid rgb(123, 12, 0);transform: translate(0px, 2px);border-top-color: rgb(123, 12, 0);border-left-color: rgb(123, 12, 0);border-right-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" style=\"border-color: rgb(123, 12, 0);\"><\/p>\n<p style=\"border-color: rgb(123, 12, 0);\"><span mpa-is-content=\"t\" style=\"font-size: 16px;border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\">\u63a8\u8350\u9605\u8bfb<\/strong><\/span><\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"margin-top: 10px;margin-bottom: 15px;white-space: normal;color: rgb(62, 62, 62);text-align: center;\"><br  \/><\/p>\n<p style=\"margin-top: 10px;margin-bottom: 15px;white-space: normal;color: rgb(62, 62, 62);text-align: center;\"><a href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247486885&amp;idx=1&amp;sn=bae50252574865f45a482ab788287ded&amp;chksm=e8945728dfe3de3eea5f7962060f3531821e27e34a708cd4c71d2ed5863f8f5fafd50422e211&amp;scene=21#wechat_redirect\" target=\"_blank\"><strong><span style=\"font-size: 14px;text-decoration: underline;\">2017\u5e74\u4eba\u5de5\u667a\u80fd\u4e0e\u6df1\u5ea6\u5b66\u4e60-\u5e74\u5ea6\u5927\u4e8b\u4ef6<\/span><\/strong><\/a><\/p>\n<p style=\"margin-top: 10px;margin-bottom: 15px;white-space: normal;color: rgb(62, 62, 62);text-align: center;\"><strong><span style=\"font-size: 14px;text-decoration: underline;\"><a href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247486209&amp;idx=1&amp;sn=56103336c57f9eb10ad2f772a51d5502&amp;chksm=e894518cdfe3d89a1187c992b6c56404dbb1e15f7eb3555dd1a252f427cd988a1938f4184c8f&amp;scene=21#wechat_redirect\" target=\"_blank\">\u91cf\u5b50\u8ba1\u7b97\u65f6\u4ee3\u7684\u673a\u5668\u5b66\u4e60<\/a><\/span><\/strong><\/p>\n<p style=\"margin-top: 10px;margin-bottom: 15px;white-space: normal;color: rgb(62, 62, 62);text-align: center;\"><strong><span style=\"font-size: 14px;text-decoration: underline;\"><a href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247487896&amp;idx=1&amp;sn=c196c3361bd786bb2baa8c11f6a7aa34&amp;chksm=e8944b15dfe3c2037a936e447547478b3288ab3702fb228493fc54ae3b56878f0068128047d4&amp;scene=21#wechat_redirect\" target=\"_blank\">\u300a\u63a2\u5bfb\u5b87\u5b99\u7684\u667a\u80fd\uff0c\u89e3\u5bc6\u540c\u6b65\u7684\u5965\u79d8\u300b<\/a><\/span><\/strong><\/p>\n<p style=\"margin-top: 10px;margin-bottom: 15px;white-space: normal;color: rgb(62, 62, 62);text-align: center;\"><strong><span style=\"font-size: 14px;text-decoration: underline;\"><a href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247487778&amp;idx=1&amp;sn=c2e77ec93213c4c63f57a777ff10e368&amp;chksm=e8944bafdfe3c2b9d66544dafe7403159473e8c94fd3bc513f5300c353bcec49c0c0b69797af&amp;scene=21#wechat_redirect\" target=\"_blank\">\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01\u96c6\u667a\u4ff1\u4e50\u90e8\u56e2\u961f\u62db\u65b0\u5566\uff01<\/a><br  \/><\/span><\/strong><\/p>\n<p style=\"margin-top: 10px;margin-bottom: 15px;white-space: normal;color: rgb(62, 62, 62);text-align: center;\"><span style=\"font-size: 14px;text-decoration: underline;\"><strong><a href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247487645&amp;idx=1&amp;sn=e90727f640271cfb965d0315847cea3b&amp;chksm=e8944a10dfe3c306fb0160e7e9f66827d75f21221c634de324ca7544db10e56c897e05b0713c&amp;scene=21#wechat_redirect\" target=\"_blank\">\u5165\u95e8\u7cfb\u7edf\u79d1\u5b66\uff1f\u4f60\u6709\u4e00\u4efd\u7cfb\u7edf\u79d1\u5b66\u5bfc\u5f15\u5f85\u6536&#8230;..<\/a><\/strong><\/span><\/p>\n<p style=\"margin-top: 10px;margin-bottom: 15px;white-space: normal;color: rgb(62, 62, 62);text-align: center;\"><strong><span style=\"font-size: 14px;text-decoration: underline;\"><a href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247487576&amp;idx=1&amp;sn=91ea29465ebfb65f950891e0b9d20367&amp;chksm=e8944ad5dfe3c3c3c70216082bf05c6e3393c8dc51f418affe7e5c21aabdffbde1730eeb48e7&amp;scene=21#wechat_redirect\" target=\"_blank\">\u5f53\u5bf9\u79f0\u6027\u88ab\u6253\u7834\uff0c\u4e8b\u60c5\u624d\u5f00\u59cb\u53d8\u5f97\u6709\u8da3<\/a><br  \/><\/span><\/strong><\/p>\n<p style=\"margin-top: 10px;margin-bottom: 15px;white-space: normal;color: rgb(62, 62, 62);text-align: center;\"><strong style=\"font-size: 14px;text-decoration: underline;\"><a href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247487569&amp;idx=1&amp;sn=c1543e1f9f4764770aec34e5ef522b2f&amp;chksm=e8944adcdfe3c3ca34d8cc80c1ddea4c8e5beb947d7f346a17049f654e011f69c001e4bd0934&amp;scene=21#wechat_redirect\" target=\"_blank\">\u4e0b\u4e00\u79d2\u706b\u7130\u5982\u4f55\u71c3\u70e7\uff1f\u673a\u5668\u5b66\u4e60\u6210\u529f\u9884\u6d4b\u6df7\u6c8c<\/a><\/strong><\/p>\n<p style=\"margin-top: 10px;margin-bottom: 15px;white-space: normal;color: rgb(62, 62, 62);text-align: center;\"><strong style=\"text-decoration: underline;font-size: 14px;\"><a href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247487624&amp;idx=1&amp;sn=faf4f6b483c32adf438705564ff3605f&amp;chksm=e8944a05dfe3c31342bbeea08cdbea849daf39dce109283551bd25df72dffb839f30be84f4f5&amp;scene=21#wechat_redirect\" target=\"_blank\">\u5168\u606f\u8ba1\u7b97\u6253\u9020\u201c\u516c\u53f8\u5927\u8111\u201d\uff1b\u7b80\u5355\u89c4\u5219\u9a71\u52a8\u590d\u6742\u7cfb\u7edf&nbsp;<\/a><\/strong><\/p>\n<p style=\"white-space: normal;color: rgb(62, 62, 62);text-align: center;\"><strong style=\"text-decoration: underline;font-size: 14px;\"><a href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247487411&amp;idx=1&amp;sn=70371ccc16e05077ec4613a23ed11e64&amp;chksm=e894553edfe3dc28c1786c0cbfd79c8ae811da4ccf38fd2e957f7365940fcf3e0350bd6b9b9b&amp;scene=21#wechat_redirect\" target=\"_blank\">\u89e3\u8bfb\u5e42\u5f8b\u4e0e\u65e0\u6807\u5ea6\u7f51\u7edc | \u7f51\u7edc\u79d1\u5b66\u5165\u95e8<\/a><\/strong><\/p>\n<p style=\"margin-top: 10px;margin-bottom: 15px;white-space: normal;color: rgb(62, 62, 62);text-align: center;\"><br  \/><\/p>\n<section class=\"mpa-template\"    style=\"white-space: normal;\">\n<section  style=\"margin-top: 20px;display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\">\n<section   style=\"padding-right: 30px;padding-left: 30px;min-width: 60px;text-align: center;border-bottom: 2px solid rgb(232, 230, 230);\">\n<section  style=\"padding-right: 10px;padding-left: 10px;display: inline-block;font-size: 14px;color: rgb(123, 12, 0);border-bottom: 2px solid rgb(123, 12, 0);transform: translate(0px, 2px);border-top-color: rgb(123, 12, 0);border-left-color: rgb(123, 12, 0);border-right-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" style=\"border-color: rgb(123, 12, 0);\"><\/p>\n<p style=\"border-color: rgb(123, 12, 0);\"><span mpa-is-content=\"t\" style=\"font-size: 16px;border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\">\u63a8\u8350\u8bfe\u7a0b<\/strong><\/span><\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<p mpa-paragraph-type=\"body\" style=\"margin-top: 5px;margin-bottom: 5px;letter-spacing: 0px;white-space: normal;font-size: 15px;line-height: 1.75;text-align: center;\"><span  style=\"caret-color: rgb(0, 0, 0);font-family: -webkit-standard;text-size-adjust: auto;\"><\/span><\/p>\n<p style=\"text-align: center;margin-bottom: 10px;\"><strong><span style=\"font-size: 16px;\">\u7cfb\u5217\u8bfe\u7a0b\uff1a\u975e\u6b27\u6c0f\u6570\u636e\u7684\u51e0\u4f55\u6df1\u5ea6\u5b66\u4e60<\/span><\/strong><\/p>\n<p style=\"text-align: center;margin-bottom: 10px;\"><strong><span style=\"font-size: 16px;\"><\/span><\/strong><\/p>\n<p style=\"text-align: center;\"><img class=\"\"           style=\"width: 558px;height: 314px;\" src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/08\/swarma2-1534231295.jpeg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\"  \/><\/p>\n<p style=\"text-align: center;\"><span style=\"color: rgb(136, 136, 136);font-family: Arial, Helvetica, sans-serif;font-size: 14px;\">\u626b\u63cf\u4e8c\u7ef4\u7801\u6216\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d<\/span><\/p>\n<p mpa-paragraph-type=\"body\" style=\"margin-top: 5px;margin-bottom: 5px;letter-spacing: 0px;white-space: normal;font-size: 15px;line-height: 1.75;\"><br  \/><\/p>\n<section  class=\"mpa-template\" mpa-paragraph-type=\"ignored\" style=\"white-space: normal;\">\n<hr style=\"color: rgb(62, 62, 62);font-size: 16px;line-height: 25.6px;widows: 1;background-color: rgb(255, 255, 255);\"  \/>\n<p style=\"margin-right: 0.5em;margin-left: 0.5em;color: rgb(62, 62, 62);font-size: 16px;line-height: 25.6px;widows: 1;text-align: center;background-color: rgb(255, 255, 255);\"><img class=\"__bg_gif\"     width=\"100%\" style=\"letter-spacing: 0.5px;visibility: visible !important;width: 64px !important;\" src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/08\/swarma9-1534231295.gif\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\"  \/><br  \/><\/p>\n<section   style=\"margin-right: 0.5em;margin-left: 0.5em;color: rgb(62, 62, 62);font-size: 16px;line-height: 25.6px;widows: 1;letter-spacing: 0.5px;background-color: rgb(255, 255, 255);\">\n<section   style=\"margin-right: 0.5em;margin-left: 0.5em;line-height: 25.6px;text-align: center;outline: none;\">\n<section   style=\"margin-right: 0.5em;margin-left: 0.5em;line-height: 25.6px;outline: none;\">\n<section   style=\"outline: none;\">\n<section  style=\"margin-right: 0.5em;margin-left: 0.5em;font-size: 15px;outline: none;\">\n<section  style=\"line-height: 25.6px;border-color: rgb(123, 12, 0);\">\n<p style=\"margin-top: 10px;margin-bottom: 10px;padding-right: 3px;padding-left: 3px;transform: translate3d(0px, 0px, 0px);border-color: rgb(123, 12, 0);line-height: 1.5em;\"><strong mpa-from-tpl=\"t\"><span style=\"font-size: 12px;color: rgb(136, 136, 136);\">\u96c6\u667aQQ\u7fa4\uff5c292641157<br  \/>\u5546\u52a1\u5408\u4f5c\uff5czhangqian@swarma.org<br  \/>\u6295\u7a3f\u8f6c\u8f7d\uff5cwangting@swarma.org<\/span><\/strong><\/p>\n<section   style=\"margin-right: 0.5em;margin-left: 0.5em;outline: none;\">\n<h1 style=\"margin-top: 10px;margin-bottom: 10px;line-height: 1.75em;\"><strong mpa-from-tpl=\"t\" style=\"font-size: 14px;white-space: pre-wrap;color: rgb(0, 112, 192);line-height: 25.6px;\"><strong mpa-from-tpl=\"t\" style=\"line-height: 28px;white-space: normal;color: rgb(61, 170, 214);font-size: 20px;\"><span style=\"font-size: 14px;color: rgb(136, 136, 136);\"><span style=\"color: rgb(255, 76, 0);\">\u25c6&nbsp;<\/span><span style=\"color: rgb(0, 128, 255);\">\u25c6&nbsp;<\/span><span style=\"color: rgb(61, 170, 214);\">\u25c6<\/span><\/span><\/strong><\/strong><\/h1>\n<\/section>\n<p style=\"margin-right: 0.5em;margin-left: 0.5em;font-size: 19px;color: rgb(71, 193, 168);line-height: 23.2727px;overflow-wrap: break-word !important;\"><span style=\"color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\"><span style=\"font-size: 14px;\">\u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/p>\n<p style=\"margin-right: 0.5em;margin-left: 0.5em;font-size: 19px;color: rgb(71, 193, 168);line-height: 23.2727px;overflow-wrap: break-word !important;\"><span style=\"color: rgb(0, 0, 0);\"><strong mpa-from-tpl=\"t\"><span style=\"font-size: 14px;\"><br  \/><\/span><\/strong><\/span><\/p>\n<p style=\"margin-right: 0.5em;margin-left: 0.5em;font-size: 19px;color: rgb(71, 193, 168);line-height: 23.2727px;overflow-wrap: break-word !important;\"><span style=\"color: rgb(0, 0, 0);\"><strong mpa-from-tpl=\"t\"><span style=\"font-size: 14px;\">\u52a0\u5165\u201c\u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240\u201d<\/span><\/strong><\/span><\/p>\n<section style=\"margin-right: 0.5em;margin-left: 0.5em;font-size: 14px;color: rgb(71, 193, 168);line-height: 20px;overflow-wrap: break-word !important;\">\n<p style=\"margin: 5px auto;padding: 10px;width: 180px;border-width: 2px;border-style: dashed;border-color: rgb(132, 132, 132);line-height: normal;overflow-wrap: break-word !important;\"><img class=\"\"      width=\"auto\" style=\"overflow-wrap: break-word !important;visibility: visible !important;width: auto !important;\" src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/08\/swarma7-1534231295.jpeg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\"  \/><\/p>\n<\/section>\n<p><span style=\"font-size: 14px;\">\u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<blockquote class='keep-source'>\n<p>\u59cb\u53d1\u4e8e\u5fae\u4fe1\u516c\u4f17\u53f7\uff1a                         \u96c6\u667a\u4ff1\u4e50\u90e8                      <\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u5bfc\u8bed 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