{"id":22179,"date":"2020-11-26T22:22:39","date_gmt":"2020-11-26T14:22:39","guid":{"rendered":"https:\/\/swarma.org\/?p=22179"},"modified":"2020-11-26T22:22:39","modified_gmt":"2020-11-26T14:22:39","slug":"%e8%b6%85%e8%b6%8a%e7%bb%8f%e6%b5%8e%e6%99%ae%e6%9f%a5%ef%bc%9a%e4%bb%8e%e8%88%aa%e7%a9%ba%e5%bd%b1%e5%83%8f%e5%88%a4%e6%96%ad%e5%9f%8e%e5%b8%82%e4%b8%ad%e7%9a%84%e8%b4%ab%e5%af%8c%e5%b7%ae%e8%b7%9d","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=22179","title":{"rendered":"\u8d85\u8d8a\u7ecf\u6d4e\u666e\u67e5\uff1a\u4ece\u822a\u7a7a\u5f71\u50cf\u5224\u65ad\u57ce\u5e02\u4e2d\u7684\u8d2b\u5bcc\u5dee\u8ddd"},"content":{"rendered":"
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\u7136\u800c\uff0c\u4e3a\u4e86\u66f4\u597d\u5730\u89e3\u51b3\u8fd9\u7c7b\u53d1\u5c55\u4e0d\u5e73\u8861\u3001\u4e0d\u5747\u8861\u95ee\u9898\uff0c\u4f20\u7edf\u7684\u7edf\u8ba1\u6570\u636e\u5df2\u7ecf\u65e0\u6cd5\u6ee1\u8db3\u6211\u4eec\u7684\u9700\u6c42\uff0c\u6211\u4eec\u9700\u8981\u83b7\u53d6\u7ec6\u7c92\u5ea6\u7684\u793e\u4f1a\u7ecf\u6d4e\u4fe1\u606f\uff0c\u4e5f\u9700\u8981\u65b0\u7684\u7ecf\u6d4e\u7edf\u8ba1\u6307\u6807\u3002<\/span><\/strong><\/span><\/p>\n

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\u968f\u7740\u73b0\u4ee3\u4fe1\u606f\u6280\u672f\u7684\u53d1\u5c55\uff0c\u9664\u4e86\u6570\u503c\u578b\u7684\u7edf\u8ba1\u6307\u6807\u5916\uff0c\u73b0\u4ee3\u7684\u79d1\u5b66\u5bb6\u4e5f\u5f00\u59cb\u4ece\u591a\u5a92\u4f53\u7b49\u975e\u7ed3\u6784\u5316\u6570\u636e\u4e2d\u63a8\u65ad\u7ecf\u6d4e\u53d1\u5c55\u7684\u4fe1\u606f\u3002\u4f8b\u5982\u536b\u661f\u9065\u611f\u3001\u822a\u62cd\u5f71\u50cf\u6570\u636e\u5c31\u4e3a\u9884\u6d4b\u7ecf\u6d4e\u53d1\u5c55\u63d0\u4f9b\u4e86\u65b0\u7684\u6570\u636e\u6765\u6e90\u3002\u5229\u7528\u73b0\u4ee3\u673a\u5668\u5b66\u4e60\u6280\u672f\uff0c\u901a\u8fc7\u56fe\u50cf\u6570\u636e\u548c\u7ecf\u6d4e\u8c03\u67e5\u4fe1\u606f\u7684\u62df\u5408\u8bad\u7ec3\uff0c\u7814\u7a76\u8005\u5c31\u53ef\u4ee5\u901a\u8fc7\u56fe\u5f62\u6570\u636e\u6765\u4f30\u7b97\u4e00\u4e2a\u5730\u533a\u7684\u793e\u4f1a\u7ecf\u6d4e\u72b6\u51b5\uff08socioeconomic status\uff0cSES\uff09<\/strong>\u3002<\/span><\/p>\n

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\u7136\u800c\uff0c\u6df1\u5ea6\u5b66\u4e60\u7684\u53ef\u89e3\u91ca\u6027\u95ee\u9898\uff0c\u4e5f\u7ed9\u8fd9\u4e00\u65b0\u65b9\u6cd5\u5e26\u6765\u4e86\u9650\u5236\u3002\u4f8b\u5982\uff0c\u57ce\u5e02\u51e0\u4f55\u7ed3\u6784\u548c\u9ad8\u5206\u8fa8\u7387\u5f71\u50cf\u4e4b\u95f4\u6ca1\u6709\u5efa\u7acb\u8d77\u5173\u7cfb\u3002\u8fd1\u65e5\uff0c\u6765\u81ea\u6cd5\u56fd\u91cc\u6602\u5927\u5b66\u7684 Jacob Levy Abitbol \u548c M\u00e1rton Karsai\u5229\u7528\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u4ee5\u53ca\u76f8\u5173\u7684\u89e3\u91ca\u65b9\u6cd5\uff0c\u901a\u8fc7\u822a\u7a7a\u5f71\u50cf\u6570\u636e\u9884\u6d4b\u4e86\u57ce\u5e02\u7684\u7ecf\u6d4e\u6c34\u5e73\u5e76\u4ece\u57ce\u5e02\u5f71\u50cf\u7684\u51e0\u4f55\u7ed3\u6784\u4e0a\u7ed9\u51fa\u4e86\u89e3\u91ca\u3002\u8fd9\u4e00\u7814\u7a76\u4e8e2020\u5e7410\u6708\u53d1\u8868\u5728 Nature Machine Intelligence<\/em> \u4e0a\u3002<\/span><\/p>\n

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Interpretable socioeconomic status inference from aerial imagery through urban patterns<\/span><\/p>\n

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https:\/\/www.nature.com\/articles\/s42256-020-00243-5<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u4e3a\u4e86\u8bc6\u522b\u822a\u62cd\u5f71\u50cf\u6570\u636e\uff0c\u7814\u7a76\u8005\u4f7f\u7528\u4e86\u4e00\u4e2a\u4fee\u6539\u8fc7\u7684EfficientNet B0\u6a21\u578b\u3002EfficientNet\u662f\u4e00\u4e2a\u7531\u8c37\u6b4c\u63d0\u51fa\u7684\u53ef\u7528\u4e8e\u56fe\u50cf\u8bc6\u522b\u3001\u8fc1\u79fb\u4efb\u52a1\u7684\u6a21\u578b\u3002\u5728\u7814\u7a76\u8005\u7684\u5b9e\u9a8c\u4e2d\uff0c\u901a\u8fc7\u8bc6\u522b\u822a\u62cd\u5f71\u50cf\uff0c\u5b9e\u9a8c\u6a21\u578b\u7ed9\u51fa\u7684\u9884\u6d4b\u6570\u636e\u548c\u771f\u5b9e\u7684\u7ecf\u6d4e\u7edf\u8ba1\u7ed3\u679c\u975e\u5e38\u543b\u5408\u3002<\/strong><\/span><\/p>\n

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\u8fdb\u800c\uff0c\u7814\u7a76\u8005\u4e5f\u901a\u8fc7EfficientNet B0\u6a21\u578b\u7ed8\u5236\u51fa\u4e86\u5df4\u9ece\u5730\u533a\u7684\u793e\u4f1a\u7ecf\u6d4e\u72b6\u51b5\u5730\u56fe\u3002<\/span><\/p>\n


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\u5230\u5e95\u662f\u54ea\u91cc\u62d6\u4e86\u7ecf\u6d4e\u7684\u540e\u9000\uff1a<\/strong><\/span><\/p>\n

\u5f52\u56e0\u5206\u6790\u8ba9\u8d2b\u5bcc\u5dee\u8ddd\u770b\u5f97\u89c1
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\u4e3a\u4e86\u8fdb\u4e00\u6b65\u63d0\u9ad8\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u53ef\u89e3\u91ca\u6027\uff0c\u7814\u7a76\u8005\u4f7f\u7528\u4e86guided Grad-CAM<\/span>\uff08guided gradient-weighted class activation mapping\uff09<\/span>\u2014\u2014\u4e00\u79cd\u57fa\u4e8e\u68af\u5ea6\u7684\u70ed\u529b\u56fe\u6a21\u578b\u5c06\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u62bd\u8c61\u8fd0\u7b97\u6620\u5c04\u56de\u57ce\u5e02\u7684\u5730\u7406\u7a7a\u95f4\u3002<\/span><\/p>\n

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\u5bf9\u4e0b\u56fe\u6240\u793a\u7684\u4e00\u4e2a\u7279\u5b9a\u533a\u57df\u800c\u8a00\uff1a<\/span><\/p>\n

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\u901a\u8fc7guided Grad-CAM\u7ed9\u51fa\u7684\u56fe\u50cf\u6211\u4eec\u53ef\u4ee5\u77e5\u9053\u5728\u4e00\u5f20\u5f71\u50cf\u4e2d\uff0c\u54ea\u4e9b\u533a\u57df\u4f1a\u88ab\u8bc6\u522b\u4e3a\u8d2b\u7a77\u533a\u57df\uff0c\u54ea\u4e9b\u5730\u533a\u4f1a\u88ab\u8bc6\u522b\u4e3a\u5bcc\u88d5\u533a\u57df<\/strong>\u3002<\/span><\/p>\n


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\u56fe5\uff1aguided Grad-CAM\u7ed9\u51fa\u7684\u8d2b\u7a77\uff08b\uff09\u548c\u5bcc\u88d5\uff08c\uff09\u533a\u57df\u70ed\u529b\u56fe\u3002\u6b63\u662f\u90a3\u4e9b\u88ab\u6fc0\u6d3b\u7684\u9ad8\u4eae\u533a\u57df\u8868\u793a\u4e86\u4e0d\u540c\u7684\u7ecf\u6d4e\u53d1\u5c55\u6c34\u5e73\u4ee5\u53ca\u5bf9\u5e94\u7684\u51e0\u4f55\u533a\u57df\u5212\u5206\uff08e-f\uff09<\/span><\/span><\/section>\n

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\u5982\u4e0a\u56fe b-c \u6240\u793a\uff0c\u7b97\u6cd5\u8bc6\u522b\u51fa\u7684\u8d2b\u7a77\u548c\u5bcc\u88d5\u5730\u533a\u5747\u4ee5\u70ed\u529b\u56fe\u7684\u5f62\u5f0f\u8fdb\u884c\u4e86\u7740\u8272\u3002\u8fdb\u800c\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u5f97\u77e5\u662f\u57ce\u5e02\u4e2d\u7684\u54ea\u4e9b\u51e0\u4f55\u7ed3\u6784\u8868\u793a\u4e86\u8d2b\u7a77\u6216\u5bcc\u6709\u7684\u533a\u57df\uff08e-f\uff09<\/strong>\u3002<\/span><\/p>\n

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\u7ecf\u6d4e\u53d1\u5c55\u4e0d\u5e73\u7b49\u7684\u52a0\u5267\u5e76\u4e0d\u4ec5\u4ec5\u51fa\u73b0\u5728\u56fd\u5bb6\u3001\u57ce\u5e02\u4e4b\u95f4\u3002\u5b9e\u9645\u4e0a\u5728\u4e00\u4e2a\u5927\u578b\u7684\u57ce\u5e02\u3001\u57ce\u5e02\u7fa4\u4e2d\uff0c\u4e5f\u5b58\u5728\u7740\u7ec6\u5fae\u4f46\u5de8\u5927\u7684\u5dee\u5f02<\/span><\/strong>\u3002\u96e8\u679c\u5956\u83b7\u5956\u5c0f\u8bf4\u300a\u5317\u4eac\u6298\u53e0\u300b\u5c31\u4ee5\u79d1\u5e7b\u7684\u65b9\u5f0f\u4e3a\u6211\u4eec\u63cf\u8ff0\u4e86\u8fd9\u79cd\u5de8\u5927\u7684\u9e3f\u6c9f\u3002<\/span><\/p>\n

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Science Advances\u524d\u6cbf\uff1a\u521b\u65b0\u578b\u57ce\u5e02\u7684\u4e34\u754c\u4eba\u53e3\u662f120\u4e07<\/strong><\/span><\/a>
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\u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@swarma.org
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\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<\/section>\n<\/section>\n<\/section>\n


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