{"id":2386,"date":"2024-01-11T22:13:29","date_gmt":"2024-01-11T14:13:29","guid":{"rendered":"https:\/\/www.lanxy.ink\/?p=2386"},"modified":"2024-01-23T22:52:50","modified_gmt":"2024-01-23T14:52:50","slug":"exploiting-completeness-and-uncertainty-of-pseudo-labels-for-weakly-supervised-video-anomaly-detection-%e8%ae%ba%e6%96%87%e8%a7%a3%e8%af%bb","status":"publish","type":"post","link":"https:\/\/www.lanxy.ink\/?p=2386","title":{"rendered":"Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection \u8bba\u6587\u89e3\u8bfb"},"content":{"rendered":"\n
\n

\u6807\u9898\uff1a\u5229\u7528\u4f2a\u6807\u7b7e\u7684\u5b8c\u6574\u6027\u548c\u4e0d\u786e\u5b9a\u6027\u8fdb\u884c\u5f31\u76d1\u7763\u89c6\u9891\u5f02\u5e38\u68c0\u6d4b<\/p>\n\u8bba\u6587\u6765\u6e90\uff1aCVPR 2023 Open Access Repository (thecvf.com)<\/a><\/cite><\/blockquote>\n\n\n\n

\u8fd9\u7bc7\u8bba\u6587\u4e5f\u662f\u5173\u4e8e\u89c6\u9891\u5f02\u5e38\u68c0\u6d4b\u7684\uff0c\u5728\u4f20\u7edf\u57fa\u4e8e\u591a\u5b9e\u4f8b\u5b66\u4e60(MIL)\u7684two-stage\u68c0\u6d4b\u7b97\u6cd5\u7684\u57fa\u7840\u4e0a\u8fdb\u884c\u4e86\u4e00\u5b9a\u7684\u521b\u65b0\u3002<\/p>\n\n\n\n

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\u4f46\u662f\u5f88\u591a\u65f6\u5019\u8ba9\u6a21\u578b\u751f\u6210\u4f2a\u6807\u7b7e\u4f1a\u51fa\u73b0\u4e00\u4e9b\u95ee\u9898\u3002\u6587\u4e2d\u63d0\u5230\u4e24\u4e2a\u70b9\uff0c\u5206\u522b\u662f\u4f2a\u6807\u7b7e\u7684\u4e0d\u5b8c\u6574\u6027<\/strong>\u548c\u4e0d\u786e\u5b9a\u6027<\/strong>\u3002<\/p>\n\n\n\n

\u4f55\u4e3a\u4f2a\u6807\u7b7e\u7684\u4e0d\u5b8c\u6574\u6027\uff1f<\/strong>\u591a\u5b9e\u4f8b\u5b66\u4e60\u7531\u4e8e\u7f3a\u4e4f\u5e27\u7ea7\u522b\u7684\u6807\u7b7e\uff0c\u8fd9\u4e2a\u201c\u786c\u4f24\u201d\u4f1a\u5bfc\u81f4\u7ed3\u679c\u7684\u5fc5\u7136\u4e0d\u51c6\u786e\uff0c\u5728\u751f\u6210\u4f2a\u6807\u7b7e\u7684\u65f6\u5019\uff0c\u5f80\u5f80\u53ea\u53bb\u6ce8\u610f\u89c6\u9891\u91cc\u6700\u6709\u53ef\u80fd\u662f\u5f02\u5e38\u7684\u4e00\u5c0f\u6bb5\uff0c\u6807\u51fa\u6765\u7684\u5f02\u5e38\u53ef\u80fd\u5c31\u4e0d\u5b8c\u6574\uff0c\u6807\u7b7e\u4e5f\u662f\u4e0d\u5b8c\u6574\u7684\uff0c\u5982\u4e0b\u56fe\u6240\u793a\u3002<\/p>\n\n\n

\n
\"\"<\/div>
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\u4f55\u4e3a\u4f2a\u6807\u7b7e\u7684\u4e0d\u786e\u5b9a\u6027\uff1f<\/strong>\u6a21\u578b\u81ea\u5df1\u53bb\u7ed9\u5f02\u5e38\u89c6\u9891\u6253\u6807\u7b7e\uff0c\u5f80\u5f80\u4f1a\u4e0d\u51c6\u786e\uff0c\u6709\u4e9b\u4e0d\u662f\u5f02\u5e38\u7684\u88ab\u6807\u4e3a\u5f02\u5e38\uff0c\u67d0\u4e9b\u662f\u5f02\u5e38\u7684\u53c8\u6ca1\u6807\u4e0a\uff0c\u7b80\u800c\u8a00\u4e4b\u5f97\u5230\u7684\u6807\u7b7e\u96c6\u662f\u201c\u6709\u566a\u58f0\u7684\u201d\uff0c\u76f4\u63a5\u7528\u6765\u8bad\u7ec3\u4f1a\u5f71\u54cd\u5206\u7c7b\u5668\u6027\u80fd\u3002<\/p>\n\n\n\n

\u5bf9\u4e8e\u8fd9\u4e24\u4e2a\u4e0d\u8db3\u4e4b\u5904\uff0c\u4f5c\u8005\u63d0\u51fa\u4e24\u4e2a\u6539\u8fdb\u7b56\u7565\uff0c\u7b2c\u4e00\u4e2a\u662f\u591a\u5934\u5206\u7c7b\u5668\u6a21\u578b\uff08multi-head classification module\uff09\uff0c\u7b2c\u4e8c\u4e2a\u662f\u4e0d\u786e\u5b9a\u6027\u4f2a\u6807\u7b7e\u8fed\u4ee3\u63d0\u70bc\u7b56\u7565\uff08iterative uncertainty pseudo label refinement strategy\uff0c\u82f1\u8bed\u4e0d\u597d\u4e0d\u4f1a\u7ffb\u8bd1\uff09\u3002<\/p>\n\n\n\n

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\u5173\u4e8e\u4e0d\u786e\u5b9a\u6027\u4f2a\u6807\u7b7e\u8fed\u4ee3\u63d0\u70bc\uff0c\u4e5f\u5373\u7ecf\u8fc7\u591a\u6b21\u8fed\u4ee3\uff0c\u4ece\u800c\u63d0\u70bc\u51fa\u4f4e\u4e0d\u786e\u5b9a\u6027\u7684\u4f2a\u6807\u7b7e\uff0c\u8fd9\u4e9b\u4f2a\u6807\u7b7e\u5bf9\u4e8e\u63cf\u8ff0\u8be5\u7247\u6bb5\u662f\u5426\u542b\u6709\u5f02\u5e38\u4e8b\u4ef6\u4f1a\u66f4\u52a0\u51c6\u786e\u3002\u8fed\u4ee3\u6316\u6398\u4f4e\u4e0d\u786e\u5b9a\u6027\u4f2a\u6807\u7b7e\u7684\u540c\u65f6\u4e5f\u5728\u901a\u8fc7MC-dropout\u6bcf\u6b21\u90fd\u8bad\u7ec3\u6a21\u578b\u4e2d\u4e00\u90e8\u5206\u795e\u7ecf\u5143\uff0c\u8f93\u5165\u5373\u4e3a\u8fd9\u4e9b\u4e0d\u786e\u5b9a\u6027\u66f4\u4f4e\u7684\u4f2a\u6807\u7b7e\uff0c\u901a\u8fc7\u4e0d\u65ad\u8fed\u4ee3\u8bad\u7ec3\uff0c\u6700\u7ec8\u5f97\u5230\u80fd\u6709\u6548\u68c0\u6d4b\u51fa\u5f02\u5e38\u7684\u6a21\u578b\u3002<\/p>\n\n\n\n

\u6574\u4e2a\u8bad\u7ec3\u8fc7\u7a0b\u5982\u4e0b\u56fe\u6240\u793a\u3002<\/p>\n\n\n

\n
\"\"<\/div>
\uff081\uff09\u5b8c\u6574\u6027\u589e\u5f3a\u7684\u4f2a\u6807\u7b7e\u751f\u6210\u5668\uff1a\u9996\u5148\u4f7f\u7528\u9884\u8bad\u7ec3\u76843D CNN\u6765\u63d0\u53d6\u89c6\u9891\u7279\u5f81\uff0c\u8fd9\u4e9b\u7279\u5f81\u88ab\u9001\u5165\u53d7\u591a\u6837\u6027\u635f\u5931(diversity loss)\u7ea6\u675f\u7684\u591a\u5934\u5206\u7c7b\u5668\u4e2d\uff0c\u9f13\u52b1\u5176\u68c0\u6d4b\u5b8c\u6574\u7684\u5f02\u5e38\u4e8b\u4ef6\u3002\u540c\u65f6\uff0c\u4f7f\u7528MIL\u6392\u540d\u635f\u5931(MIL ranking loss)\u6765\u7ea6\u675f\u5f02\u5e38\u7247\u6bb5\u7684\u5f02\u5e38\u5206\u6570\uff0c\u4f7f\u5176\u5927\u4e8e\u6b63\u5e38\u7247\u6bb5\u7684\u5f02\u5e38\u5206\u6570\u3002\uff082\uff09\u8fed\u4ee3\u7684\u4e0d\u786e\u5b9a\u6027\u611f\u77e5\u4f2a\u6807\u7b7e\u63d0\u70bc\uff1a\u5728\u7b2c\u4e00\u6b21\u8fed\u4ee3\u4e2d\uff0c\u4ece\u7b2c\u4e00\u9636\u6bb5\u7684\u591a\u5934\u5206\u7c7b\u5668\u4e2d\u83b7\u5f97\u521d\u59cb\u7247\u6bb5\u7ea7\u4f2a\u6807\u7b7e\uff0c\u5e76\u901a\u8fc7\u8499\u7279\u5361\u6d1bDropout\u6cd5\u8ba1\u7b97\u5176\u4e0d\u786e\u5b9a\u6027\u3002\u7136\u540e\uff0c\u6211\u4eec\u57fa\u4e8e\u4e0d\u786e\u5b9a\u6027\u9009\u62e9\u53ef\u9760\u7684\u7247\u6bb5\u6765\u8bad\u7ec3\u4e00\u4e2a\u65b0\u7684\u7247\u6bb5\u5206\u7c7b\u5668\u3002\u5728\u540e\u7eed\u8fed\u4ee3\u4e2d\uff0c\u4f7f\u7528\u65b0\u7684\u7247\u6bb5\u5206\u7c7b\u5668\u6765\u66f4\u65b0\u4f2a\u6807\u7b7e\u3002<\/figcaption><\/figure>\n<\/div>\n\n\n

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1. \u5de6\u8fb9\u9ec4\u8272\u90e8\u5206 (Feature Extraction)<\/h3>\n\n\n\n

\u8fd9\u90e8\u5206\u8bf4\u660e\u5728\u6587\u7ae0\u76843.1\u8282\u3002<\/p>\n\n\n\n

\u9996\u5148\u7ed9\u5b9a\u6709\u89c6\u9891\u7ea7\u5f02\u5e38\u6807\u7b7e\u7684\u89c6\u9891\u96c6\uff0c\u4ee5\u5176\u4e2d\u4e00\u4e2a\u89c6\u9891\u4e3a\u4f8b\uff0c\u5c06\u5176\u6bcf 16 \u5e27\u5207\u4e00\u6b21\u7247\uff0c\u5047\u8bbe\u8fd9\u4e2a\u89c6\u9891\u88ab\u5207\u6210\u4e86 T \u4efd\u3002\u73b0\u5728\u6211\u4eec\u5f97\u5230\u4e86\u4e00\u4efd\u5207\u788e\u4e86\u7684\u89c6\u9891\u7247\u6bb5\u7ec4\u6210\u7684\u96c6\u5408\u3002<\/p>\n\n\n\n

\u5c06\u8fd9\u4e2a\u96c6\u5408\u91cc\u9762\u7684\u6bcf\u4e00\u4efd\u5207\u7247\uff0c\u90fd\u8fc7\u4e00\u904d 3D CNN \uff0c\u63d0\u53d6\u51fa\u5176\u4e2d\u7684\u7279\u5f81\u3002\u8fd9\u6837\u6211\u4eec\u5c31\u5f97\u5230\u4e86\u4e00\u4efd\u7531 T \u4e2a\u7279\u5f81\u7ec4\u6210\u7684\u7279\u5f81\u96c6\u3002\u6bcf\u4e2a\u7279\u5f81\uff08\u5411\u91cf\uff09\u7684\u7ef4\u5ea6\u90fd\u662f\u4e00\u6837\u7684\u3002<\/p>\n\n\n\n

\u7531\u4e8e\u4e0d\u540c\u89c6\u9891\u957f\u77ed\u4e0d\u4e00\uff0c\u5207\u51fa\u6765\u7684\u7247\u6bb5\u6570\u91cf\u901a\u5e38\u4e0d\u4e00\u81f4\uff0c\u63d0\u53d6\u7279\u5f81\u5f97\u5230\u7684\u7279\u5f81\u5411\u91cf\u6570\u91cf\u4e5f\u4e0d\u4e00\u6837\uff0c\u4e0d\u65b9\u4fbf\u8bad\u7ec3\uff0c\u56e0\u6b64\u628a\u8fd9\u4e9b\u7279\u5f81\u90fd\u62fc\u5728\u4e00\u8d77\uff0c\u91cd\u65b0\u5207\u6210 S \u4e2a\u7279\u5f81\uff08\u5c31\u50cf\u628a T \u6839\u6c34\u7ba1\u91cd\u65b0\u63a5\u5728\u4e00\u8d77\uff0c\u7136\u540e\u518d\u91cd\u65b0\u5207\u6210 S \u6839\uff09\u3002<\/p>\n\n\n\n

\u6bcf\u4e2a\u89c6\u9891\u90fd\u8fd9\u6837\u505a\u4e00\u904d\uff0c\u6bcf\u4e2a\u89c6\u9891\u90fd\u80fd\u5f97\u5230\u4e00\u4e2a\u542b\u6709 S \u4e2a\u7279\u5f81\u5411\u91cf\u7684\u96c6\u5408\u3002\u81f3\u6b64\u7279\u5f81\u63d0\u53d6\u90e8\u5206\u5c31\u7ed3\u675f\u4e86\u3002
\u4f5c\u8005\u5728\u8fd9\u91cc\u5c06\u5f02\u5e38\u89c6\u9891\u89c6\u4e3a\u6b63\u4f8b\uff08positive bag\uff09\uff0c\u6b63\u5e38\u89c6\u9891\u89c6\u4e3a\u8d1f\u4f8b\uff08negative bag\uff09\u3002<\/p>\n\n\n\n

2. \u4e2d\u95f4\u7eff\u8272\u90e8\u5206 (Completeness of Pseudo Labels)<\/h3>\n\n\n\n

\u8fd9\u90e8\u5206\u8bf4\u660e\u5728\u6587\u7ae0\u76843.2\u8282\u3002<\/p>\n\n\n\n

\u8fd9\u91cc\u8fd8\u662f\u4ee5\u4e00\u4e2a\u89c6\u9891\u4e3e\u4f8b\u3002\u7ecf\u8fc7\u7279\u5f81\u63d0\u53d6\u540e\uff0c\u8fd9\u4e2a\u89c6\u9891\u5c06\u88ab\u5207\u6210 S \u4efd\uff0c\u6bcf\u4efd\u90fd\u6709\u4e00\u4e2a\u5bf9\u5e94\u7684\u7279\u5f81\u5411\u91cf\uff0c\u7ec4\u6210\u4e00\u4e2a\u8be5\u89c6\u9891\u5bf9\u5e94\u7684\u7279\u5f81\u5411\u91cf\u96c6\u3002\u4e3a\u65b9\u4fbf\u53d9\u8ff0\uff0c\u548c\u4f5c\u8005\u5728\u7b2c 4 \u7ae0\u91cc\u5b9e\u9645\u64cd\u4f5c\u7684\u4e00\u6837\uff0c S \u53d6 32\u3002<\/p>\n\n\n\n

\u8fd9\u4e2a\u89c6\u9891\u768432\u4e2a\u7279\u5f81\u5411\u91cf\u5c06\u5206\u522b\u8f93\u5165\u5230\u591a\u5934\u5206\u7c7b\u5668\u7684\u6bcf\u4e2a\u5934\u91cc\uff0c\u8fd9\u91cc\u6211\u4eec\u5047\u8bbe\u5b83\u6709\u4e24\u4e2a\u5934\uff08\u56e0\u4e3a\u4f5c\u8005\u5b9e\u9645\u4e0a\u5728\u8bba\u6587\u91cc\u53ea\u7528\u4e86\u4e24\u4e2a\u5934\uff09<\/span>\uff0c\u8fd9\u4e24\u4e2a\u5934\u90e8\u5206\u7c7b\u5668\u90fd\u662f\u75313\u4e2a\u5168\u8fde\u63a5\u5c42\u7ec4\u6210\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u53c2\u6570\u4e5f\u4e0d\u4e00\u6837\u3002\u5934\u90e8\u5206\u7c7b\u5668\u8868\u793a\u4e3a\u5982\u4e0b\u5f0f\u5b50\uff1a<\/p>\n\n\n

\n
\"\"<\/div><\/figure>\n<\/div>\n\n\n

\u6bcf\u4e2a\u5934\u90fd\u65e8\u5728\u8f93\u51fa\u54ea\u4e9b\u7279\u5f81\u5bf9\u5e94\u7684\u89c6\u9891\u7247\u6bb5\u662f\u6709\u5f02\u5e38\u4e8b\u4ef6\u7684\u3002\u4f46\u5728\u8fd9\u4e4b\u524d\uff0c\u8fd8\u6709\u4e00\u4e9b\u4e8b\u8981\u505a\u3002<\/p>\n\n\n\n

\u8fd9\u91cc\u9996\u5148\u6211\u4eec\u8981\u5148\u5f97\u5230\u5f02\u5e38\u5206\u6570\uff0c\u518d\u5bf9\u6240\u6709\u5934\u8f93\u51fa\u7684\u5f02\u5e38\u5206\u6570\u53d6\u5747\u503c\uff0c\u6700\u540e\u901a\u8fc7 Sigmoid \u6fc0\u6d3b\u51fd\u6570\u5f97\u5230\u7247\u6bb5\u7ea7\u7684\u5f02\u5e38\u6807\u7b7e\uff08\u57280\u52301\u4e0a\u5206\u5e03\uff09\u3002\u5f02\u5e38\u5206\u6570\u8d8a\u9ad8\uff0c\u8bf4\u660e\u8fd9\u4e2a\u7279\u5f81\u5411\u91cf\u4ee3\u8868\u7684\u8fd9\u4e2a\u7247\u6bb5\u66f4\u6709\u53ef\u80fd\u662f\u542b\u6709\u5f02\u5e38\u4e8b\u4ef6\u7684\u3002\u5f02\u5e38\u5206\u6570\u7528\u7279\u5f81\u5411\u91cf\u8fc7\u4e00\u904d\u5206\u7c7b\u5668\u5373\u53ef\u5f97\u5230\uff0c\u5982\u4e0b\u5f0f\u8868\u793a\uff1a<\/p>\n\n\n

\n
\"\"<\/div>
\u7b2c k \u4e2a\u5934\u7684\u5206\u7c7b\u5668\u5f97\u5230\u7684\u5f02\u5e38\u5206\u6570<\/figcaption><\/figure>\n<\/div>\n\n\n

\u518d\u8fdb\u884c\u53d6\u5e73\u5747\uff1a\uff08\u8fd9\u91cc\u5047\u8bbe\u662f\u4e24\u4e2a\u5934\uff09<\/p>\n\n\n

\n
\"\"<\/div><\/figure>\n<\/div>\n\n\n

\u6700\u540e\u901a\u8fc7\u6fc0\u6d3b\u51fd\u6570\u83b7\u5f97\u7247\u6bb5\u7ea7\u7684\u5f02\u5e38\u6807\u7b7e\u96c6\uff1a<\/p>\n\n\n

\n
\"\"<\/div><\/figure>\n<\/div>\n\n\n

\u901a\u5e38\u5230\u8fd9\u91cc\u5c31\u5df2\u7ecf\u63d0\u53d6\u5230\u4e00\u5b9a\u7cbe\u5ea6\u7684\u4f2a\u6807\u7b7e\u4e86\uff0c\u4f46\u662f\u4e3a\u63d0\u5347\u6a21\u578b\u6027\u80fd\uff0c\u4f5c\u8005\u53c8\u901a\u8fc7\u591a\u4e2a\u635f\u5931\u51fd\u6570\u5bf9\u6a21\u578b\u505a\u4e86\u8fdb\u4e00\u6b65\u7ea6\u675f\uff0c\u5206\u522b\u662f\u591a\u6837\u6027\u635f\u5931<\/strong>(diversity loss)\u3001\u5206\u6570\u6c42L2\u8303\u6570\u540e\u7684\u6b63\u5219\u5316<\/strong>(regularization term on the norm)\u3001\u57fa\u4e8e hinge \u7684\u6392\u540d\u635f\u5931<\/strong>\uff08hinge-based ranking loss\uff09<\/p>\n\n\n\n

a) \u591a\u6837\u6027\u635f\u5931<\/h4>\n\n\n\n

\u5728\u591a\u5934\u5206\u7c7b\u5668\u5904\u7406\u89c6\u9891\u7279\u5f81\u96c6\u65f6\uff0c\u4e3a\u4f7f\u5206\u7c7b\u5668\u68c0\u6d4b\u5230\u5c3d\u53ef\u80fd\u591a\u7684\u5f02\u5e38\u4e8b\u4ef6<\/strong>\uff0c\u9700\u8981\u9f13\u52b1\u8fd9 2 \u4e2a\u5934\u7684\u5f02\u5e38\u5206\u6570\u6982\u7387\u5206\u5e03\u5f7c\u6b64\u4e0d\u540c\u3002<\/p>\n\n\n\n

\u5f02\u5e38\u5206\u6570\u7684\u5206\u5e03\u7528\u5230\u4e86 softmax \u51fd\u6570\uff0c\u5982\u4e0b\u5f0f\u6240\u793a\uff1a<\/p>\n\n\n

\n
\"\"<\/div>
\u7b2c k \u4e2a\u5934\u7684\u5206\u6570\u5206\u5e03<\/figcaption><\/figure>\n<\/div>\n\n\n

\u63a5\u7740\u4f7f\u7528\u591a\u6837\u6027\u635f\u5931\u51fd\u6570\uff0c\u4f7f\u8bad\u7ec3\u65f6\u8fd9\u4e24\u4e2a\u5934\u7684\u5206\u5e03\u5dee\u5f02\u5c3d\u91cf\u5927\u3002\u591a\u6837\u6027\u635f\u5931\u7684\u516c\u5f0f\u5982\u4e0b\u5f0f\u8868\u793a\uff1a<\/p>\n\n\n

\n
\"\"<\/div><\/figure>\n<\/div>\n\n\n

\u5176\u4e2d Z \u7684\u8ba1\u7b97\u65b9\u6cd5\u5982\u4e0b\u5f0f\u8868\u793a\uff1a<\/p>\n\n\n

\n
\"\"<\/div><\/figure>\n<\/div>\n\n\n

\u7531\u4e8e\u6211\u4eec\u53ea\u7528\u4e86\u4e24\u4e2a\u5934\uff0c\u591a\u6837\u6027\u635f\u5931\u53ef\u4ee5\u7b80\u5316\u4e3a\u4e0b\u5f0f\uff1a<\/p>\n\n\n

\n
\"\"<\/div><\/figure>\n<\/div>\n\n\n

b) \u5206\u6570\u6c42L2\u8303\u6570\u540e\u7684\u6b63\u5219\u5316<\/h4>\n\n\n\n

\u4e3a\u4e86\u9632\u6b62\u6a21\u578b\u8fc7\u4e8e\u4f9d\u8d56\u67d0\u4e2a\u5934\u5206\u7c7b\u5668\u7684\u9884\u6d4b<\/strong>\uff0c\u56e0\u6b64\u9700\u8981\u5e73\u8861\u5404\u4e2a\u5934\u5206\u7c7b\u5668\u7684\u8f93\u51fa\uff0c\u8fd9\u91cc\u5c31\u5c06\u6bcf\u4e2a\u5206\u7c7b\u5668\u8f93\u51fa\u7684\u5f02\u5e38\u5206\u6570\u6c42L2\u8303\u6570\uff08\u4e5f\u5c31\u662f\u6b27\u5f0f\u8ddd\u79bb\uff09\u540e\u518d\u8fdb\u884c\u6b63\u5219\u5316\u8fd0\u7b97\uff0c\u5f97\u5230\u53c8\u4e00\u4e2a\u635f\u5931\u51fd\u6570\u5982\u4e0b\u5f0f\u8868\u793a\uff1a<\/p>\n\n\n

\n
\"\"<\/div><\/figure>\n<\/div>\n\n\n

c) \u57fa\u4e8ehinge\u7684\u6392\u540d\u635f\u5931<\/h4>\n\n\n\n

\u5728\u8fd9\u91cc\u9700\u8981\u7ea6\u675f\u6b63\u4f8b\uff08\u5f02\u5e38\u7247\u6bb5\uff09\u7684\u6700\u9ad8\u5206\u6570\u5927\u4e8e\u8d1f\u4f8b\uff08\u5f02\u5e38\u7247\u6bb5\uff09\u7684\u6700\u9ad8\u5206\u6570<\/strong>\uff0c\u4e5f\u9700\u8981\u6700\u5927\u5316\u6b63\u8d1f\u5b9e\u4f8b\u4e4b\u95f4\u7684\u5206\u79bb\u5ea6\uff0c\u4f7f\u6b63\u5e38\u7247\u6bb5\u548c\u5f02\u5e38\u7247\u6bb5\u5c3d\u91cf\u533a\u5206\u5f00\uff0c\u4f7f\u7528\u57fa\u4e8ehinge\u7684\u6392\u540d\u635f\u5931\u5982\u4e0b\u5f0f\u6240\u793a\uff1a<\/p>\n\n\n

\n
\"\"<\/div>
1 – \u6b63\u8d1f\u5b9e\u4f8b\u4e2d\u5f97\u5206\u6700\u5927\u503c\u4e4b\u95f4\u7684\u5dee<\/figcaption><\/figure>\n<\/div>\n\n\n

\u7efc\u4e0a\uff0c\u5c06\u4e09\u79cd\u635f\u5931\u51fd\u6570\u8fdb\u884c\u7edf\u5408\uff0c\u5c31\u5f97\u5230\u4e86\u591a\u5934\u5206\u7c7b\u5668\u6700\u7ec8\u7684\u635f\u5931\u51fd\u6570\uff1a<\/p>\n\n\n

\n
\"\"<\/div>
\u4f2a\u4ee3\u7801\u4e2d\u7684 \u516c\u5f0f7<\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n

\u7528\u8be5\u635f\u5931\u51fd\u6570\u6765\u8bad\u7ec3\u591a\u5934\u5206\u7c7b\u5668\uff0c\u63d0\u5347\u8f93\u51fa\u7684\u4f2a\u6807\u7b7e\u96c6\u8d28\u91cf\u3002\u5728 UCF-Crime \u6570\u636e\u96c6\u4e0a\uff0c\u4f5c\u8005\u5c06 \u03b1 \u53d6\u4e3a 10\uff0c\u5728TAD \u548c XD-Violence \u6570\u636e\u96c6\u4e0a \u03b1 \u53d6\u4e3a 0.1\u3002<\/p>\n\n\n\n

3. \u53f3\u8fb9\u84dd\u8272\u90e8\u5206 (Uncertainty of Pseudo Labels)<\/h3>\n\n\n\n

\u8fd9\u90e8\u5206\u8bf4\u660e\u5728\u6587\u7ae0\u7684 3.3 \u8282\uff0c\u6587\u7ae0\u4e2d\u5c55\u793a\u7684\u7b97\u6cd5\u4f2a\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n\n\n

\n
\"\"<\/div><\/figure>\n<\/div>\n\n\n
\u7ffb\u8bd1\u540e\u7684\u4f2a\u4ee3\u7801\u5982\u4e0b<\/span><\/i><\/div>
\"\"<\/div><\/div>\n\n\n\n

\u7b2c 7 \u884c\u81f3\u7b2c 18 \u884c\u5373\u8fd9\u4e00\u90e8\u5206\u7684\u5de5\u4f5c\u3002<\/p>\n\n\n\n

\u8fed\u4ee3\u9700\u8981\u7684\u6a21\u578b\u5373\u4e0a\u4e00\u8282\u8bad\u7ec3\u597d\u7684\u591a\u5934\u5206\u7c7b\u5668\uff0c\u4f46\u662f\u8bad\u7ec3\u8fd8\u9700\u8981\u4e00\u5b9a\u7684\u6570\u636e\u3002\u4f5c\u8005\u4e0d\u76f4\u63a5\u4f7f\u7528\u4e0a\u4e00\u8282\u751f\u6210\u7684\u4f2a\u6807\u7b7e\u96c6\uff0c\u800c\u662f\u5c06\u4f2a\u6807\u7b7e\u8fdb\u884c\u4e0d\u786e\u5b9a\u6027\u4f30\u8ba1\u3001\u5e76\u9009\u62e9\u4e0d\u786e\u5b9a\u6027\u6700\u5c0f\u7684\u4e00\u90e8\u5206\u6570\u636e\u8fdb\u884c\u8bad\u7ec3\uff0c\u8fed\u4ee3\u5f97\u5230\u7684\u65b0\u6a21\u578b\u7ee7\u7eed\u91cd\u590d\u6b64\u64cd\u4f5c\u76f4\u5230\u6a21\u578b\u6536\u655b\u3002<\/p>\n\n\n\n

\u7b2c\u4e00\u6b21\u8fed\u4ee3<\/strong> \u6211\u4eec\u9700\u8981\u5148\u51c6\u5907\u597d\u4f2a\u6807\u7b7e\u96c6\uff0c\u8fd9\u91cc\u7528\u52a0\u5165\u4e86\u8499\u7279\u5361\u6d1b-Dropout\u6cd5\u7684\u591a\u5934\u5206\u7c7b\u5668\u8f93\u5165\u8bad\u7ec3\u96c6\u91cc\u7684\u89c6\u9891\uff0c\u8fdb\u884c m \u6b21\u968f\u673a\u524d\u5411\u4f20\u64ad\u8bad\u7ec3\uff0c\u5f97\u5230\u89c6\u9891\u5f02\u5e38\u5206\u6570\uff0c\u5e76\u901a\u8fc7Sigmoid\u6fc0\u6d3b\u51fd\u6570\u5f97\u5230\u7247\u6bb5\u7ea7\u5f02\u5e38\u6807\u7b7e\u96c6\u3002\u5982\u4e0b\u5f0f\u8868\u793a\uff1a<\/p>\n\n\n

\n
\"\"<\/div>
\u7b2c m \u6b21\u968f\u673a\u524d\u5411\u4f20\u64ad\u5f97\u5230\u7684\u7247\u6bb5\u5f02\u5e38\u6807\u7b7e\u96c6<\/figcaption><\/figure>\n<\/div>\n\n\n

\uff08\u5728\u8fd9\u91cc\u6211\u67e5\u9605\u4e86\u6709\u5173dropout\u5c42\u548c MC-Dropout \u5c42\u7684\u76f8\u5173\u77e5\u8bc6\u70b9\u3002\uff09<\/p>\n\n\n\n

\u5173\u4e8e Dropout \u548c MC-Dropout<\/span><\/i><\/div>
\u5173\u4e8eDropout<\/strong>
Dropout\u53ef\u4ee5\u4f5c\u4e3a\u8bad\u7ec3\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u7684\u4e00\u79cdtrick\u4f9b\u9009\u62e9\u3002\u5728\u6bcf\u4e2a\u8bad\u7ec3\u6279\u6b21\u4e2d\uff0c\u901a\u8fc7\u5ffd\u7565\u4e00\u90e8\u5206\u7684\u7279\u5f81\u68c0\u6d4b\u5668\uff08\u8ba9\u4e00\u90e8\u5206\u7684\u9690\u5c42\u8282\u70b9\u503c\u4e3a0\uff09\uff0c\u53ef\u4ee5\u660e\u663e\u5730\u51cf\u5c11\u8fc7\u62df\u5408\u73b0\u8c61\u3002\u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u51cf\u5c11\u7279\u5f81\u68c0\u6d4b\u5668\uff08\u9690\u5c42\u8282\u70b9\uff09\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\uff0c\u68c0\u6d4b\u5668\u76f8\u4e92\u4f5c\u7528\u662f\u6307\u67d0\u4e9b\u68c0\u6d4b\u5668\u4f9d\u8d56\u5176\u4ed6\u68c0\u6d4b\u5668\u624d\u80fd\u53d1\u6325\u4f5c\u7528\uff0c\u5982\u4e0b\u56fe\u6240\u793a\u3002
\"\"

\u5173\u4e8eMC-Dropout<\/strong>
\u5b9e\u73b0\u8d77\u6765\u5176\u5b9e\u5c31\u662fdropout\uff0c\u552f\u4e00\u7684\u533a\u522b\u5728\u4e8eMC-dropout\u5728\u63a8\u7406\u548c\u6d4b\u8bd5\u9636\u6bb5\u4e5f\u8981\u6253\u5f00dropout\uff0c\u628adropout\u5f53\u4f5c\u4e00\u4e2a\u5929\u7136\u7684\u968f\u673a\u53d1\u751f\u5668\uff0c\u901a\u8fc7\u591a\u6b21\u524d\u5411\u4f20\u64ad\u6765\u8ba1\u7b97\u4e0d\u786e\u5b9a\u6027\u3002<\/div><\/div>\n\n\n\n

\u5c06\u8fd9m\u6b21\u524d\u5411\u4f20\u64ad\u5f97\u5230\u7684\u6807\u7b7e\u8fdb\u884c\u5e73\u5747\u5904\u7406\uff0c\u5f97\u5230\u6700\u7ec8\u7684\u7247\u6bb5\u7ea7\u4f2a\u6807\u7b7e\u96c6\uff0c\u5982\u4e0b\u5f0f\u6240\u793a\uff1a<\/p>\n\n\n

\n
\"\"<\/div>
\u4f2a\u4ee3\u7801\u4e2d\u7684 \u516c\u5f0f9<\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n

\u8fd9\u8fd8\u4e0d\u662f\u8fed\u4ee3\u7684\u65f6\u5019\u7528\u7684\u6807\u7b7e\u96c6\uff0c\u8fd8\u8981\u518d\u8ba1\u7b97\u4e00\u4e0b\u8fd9\u4e9b\u6807\u7b7e\u7684\u4e0d\u786e\u5b9a\u6027\uff0c\u9009\u51fa\u4e0d\u786e\u5b9a\u6027\u6700\u4f4e\u7684\u6807\u7b7e\u51fa\u6765\u3002<\/p>\n\n\n\n

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