{"id":8059,"date":"2022-09-25T21:07:00","date_gmt":"2022-09-25T13:07:00","guid":{"rendered":"http:\/\/139.9.1.231\/?p=8059"},"modified":"2022-09-20T21:08:08","modified_gmt":"2022-09-20T13:08:08","slug":"mask-rcnn","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2022\/09\/25\/mask-rcnn\/","title":{"rendered":"Mask-RCNN\u8bba\u6587"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"248\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-234-1024x248.png\" alt=\"\" class=\"wp-image-8065\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-234-1024x248.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-234-300x73.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-234-768x186.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-234.png 1330w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"has-light-gray-background-color has-background\">\u8bba\u6587\uff1a<a href=\"http:\/\/cn.arxiv.org\/pdf\/1703.06870v3\" target=\"_blank\" rel=\"noreferrer noopener\">http:\/\/cn.arxiv.org\/pdf\/1703.06870v3<\/a><\/p>\n\n\n\n<p class=\"has-light-gray-background-color has-background\">\u4ee3\u7801\uff1a<a rel=\"noreferrer noopener\" href=\"https:\/\/github.com\/facebookresearch\/maskrcnn-benchmark\" target=\"_blank\">https:\/\/github.com\/facebookresearch\/maskrcnn-benchmark<\/a><\/p>\n\n\n\n<p class=\"has-light-blue-background-color has-background\"><a href=\"https:\/\/www.bilibili.com\/video\/BV1ZY411774T\/?spm_id_from=333.788.recommend_more_video.1&amp;vd_source=dab57cea5e1b38b49ad994543c0c61bf\" target=\"_blank\" rel=\"noreferrer noopener\">B\u7ad9\u7f51\u7edc\u8be6\u89e3<\/a> <a href=\"https:\/\/www.bilibili.com\/video\/BV1dh411U7D9\/?spm_id_from=333.788.recommend_more_video.-1&amp;vd_source=dab57cea5e1b38b49ad994543c0c61bf\" target=\"_blank\" rel=\"noreferrer noopener\">FPN<\/a><\/p>\n\n\n\n<h2>Introduction<\/h2>\n\n\n\n<p>    \u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u7b80\u5355\u3001\u7075\u6d3b\u3001\u901a\u7528\u7684\u5b9e\u4f8b\u5206\u5272\u6846\u67b6\uff0c\u79f0\u4e3aMask R-CNN\u3002\u6211\u4eec\u7684\u65b9\u6cd5\u80fd\u591f\u6709\u6548\u68c0\u6d4b\u56fe\u50cf\u4e2d\u7684\u76ee\u6807\uff0c\u540c\u65f6\u4e3a\u6bcf\u4e2a\u5b9e\u4f8b\u751f\u6210\u9ad8\u8d28\u91cf\u7684\u5206\u5272\u63a9\u7801\u3002Mask R-CNN\u901a\u8fc7\u6dfb\u52a0\u4e00\u4e2a\u9884\u6d4b\u5bf9\u8c61\u63a9\u7801\u7684\u5206\u652f\uff0c\u4e0e\u73b0\u6709\u7684\u8fb9\u6846\u8bc6\u522b\u5206\u652f\u5e76\u884c\uff0c\u6269\u5c55\u4e86\u4e4b\u524d\u7684Faster R-CNN\u3002Mask R-CNN\u7684\u8bad\u7ec3\u5f88\u7b80\u5355\uff0c\u53ea\u4e3aFaster R-CNN\u589e\u52a0\u4e86\u4e00\u5c0f\u90e8\u5206\u5f00\u9500\uff0c\u8fd0\u884c\u901f\u5ea6\u4e3a5\u5e27\/\u79d2\u3002\u6b64\u5916\uff0cMask R-CNN\u5f88\u5bb9\u6613\u6cdb\u5316\u5230\u5176\u4ed6\u4efb\u52a1\uff0c\u5982\u4eba\u4f53\u59ff\u6001\u4f30\u8ba1\u3002\u6211\u4eec\u5c55\u793a\u4e86Mask R-CNN\u5728COCO\u6311\u6218\u8d5b\u7684\u5b9e\u4f8b\u5206\u5272\u3001\u76ee\u6807\u68c0\u6d4b\u548c\u4eba\u7269\u5173\u952e\u70b9\u68c0\u6d4b\u4efb\u52a1\u4e0a\u7684\u6700\u4f18\u7ed3\u679c\u3002\u5728\u4e0d\u4f7f\u7528\u82b1\u54e8\u6280\u5de7\u7684\u60c5\u51b5\u4e0b\uff0cMask R-CNN\u5728\u5404\u9879\u4efb\u52a1\u4e0a\u90fd\u4f18\u4e8e\u73b0\u6709\u7684\u5355\u4e00\u6a21\u578b\uff0c\u5305\u62ecCOCO 2016\u6311\u6218\u8d5b\u7684\u51a0\u519b\u3002\u6211\u4eec\u5e0c\u671bMask R-CNN\u80fd\u591f\u6210\u4e3a\u4e00\u4e2a\u575a\u5b9e\u7684\u57fa\u7ebf\uff0c\u5e76\u6709\u52a9\u4e8e\u7b80\u5316\u672a\u6765\u5b9e\u4f8b\u8bc6\u522b\u7684\u7814\u7a76\u3002<\/p>\n\n\n\n<p>Fast\/Faster R-CNN\u548cFully Convolutional Network(FCN)\u6846\u67b6\u6781\u5927\u5730\u63a8\u52a8\u4e86\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u4e2d\u76ee\u6807\u68c0\u6d4b\u548c\u8bed\u4e49\u5206\u5272\u7b49\u65b9\u5411\u7684\u53d1\u5c55\u3002\u8fd9\u4e9b\u65b9\u6cd5\u7684\u6982\u5ff5\u5f88\u76f4\u89c2\uff0c\u5177\u6709\u826f\u597d\u7684\u7075\u6d3b\u6027\u548c\u9c81\u68d2\u6027\uff0c\u5e76\u4e14\u80fd\u591f\u5feb\u901f\u8bad\u7ec3\u548c\u63a8\u7406\u3002\u6211\u4eec\u8fd9\u9879\u5de5\u4f5c\u7684\u76ee\u6807\u662f\u4e3a\u5b9e\u4f8b\u5206\u5272\u4efb\u52a1\u5f00\u53d1\u4e00\u4e2a\u76f8\u5bf9\u53ef\u884c\u7684\u6846\u67b6\u3002<\/p>\n\n\n\n<p>\u5b9e\u4f8b\u5206\u5272\u5177\u6709\u4e00\u5b9a\u7684\u6311\u6218\u6027\uff0c\u56e0\u4e3a\u5b83\u9700\u8981\u6b63\u786e\u68c0\u6d4b\u56fe\u50cf\u4e2d\u7684\u6240\u6709\u5bf9\u8c61\uff0c\u540c\u65f6\u8fd8\u8981\u7cbe\u786e\u5206\u5272\u6bcf\u4e2a\u5b9e\u4f8b\u3002\u56e0\u6b64\uff0c\u5b83\u7ed3\u5408\u4e86\u76ee\u6807\u68c0\u6d4b\u548c\u8bed\u4e49\u5206\u5272\u7b49\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u4e2d\u7684\u5143\u7d20\u3002\u76ee\u6807\u68c0\u6d4b\u65e8\u5728\u5bf9\u5355\u4e2a\u7269\u4f53\u8fdb\u884c\u5206\u7c7b\uff0c\u5e76\u4f7f\u7528\u8fb9\u6846\u5bf9\u6bcf\u4e2a\u7269\u4f53\u8fdb\u884c\u5b9a\u4f4d\u3002\u8bed\u4e49\u5206\u5272\u65e8\u5728\u5c06\u6bcf\u4e2a\u50cf\u7d20\u5f52\u7c7b\u5230\u4e00\u7ec4\u56fa\u5b9a\u7684\u7c7b\u522b\uff0c\u800c\u4e0d\u533a\u5206\u5bf9\u8c61\u5b9e\u4f8b\u3002\u9274\u4e8e\u6b64\uff0c\u4eba\u4eec\u53ef\u80fd\u4f1a\u8ba4\u4e3a\u9700\u8981\u4e00\u5957\u590d\u6742\u7684\u65b9\u6cd5\u624d\u80fd\u83b7\u5f97\u826f\u597d\u7684\u7ed3\u679c\u3002\u7136\u800c\uff0c\u6211\u4eec\u8bc1\u660e\u4e86\u4e00\u4e2a\u4ee4\u4eba\u60ca\u8bb6\u7684\u4e8b\u5b9e\uff1a\u7b80\u5355\u3001\u7075\u6d3b\u3001\u5feb\u901f\u7684\u7cfb\u7edf\u4e5f\u53ef\u4ee5\u8d85\u8d8a\u73b0\u6709\u7684\u6700\u5148\u8fdb\u7684\u5b9e\u4f8b\u5206\u5272\u6a21\u578b\u3002<\/p>\n\n\n\n<p>\u6211\u4eec\u7684\u65b9\u6cd5\u79f0\u4e3aMask R-CNN\uff0c\u901a\u8fc7\u5728\u6bcf\u4e2aRoI(\u611f\u5174\u8da3\u533a\u57df\uff0cRegion of Interest)\u4e0a\u6dfb\u52a0\u4e00\u4e2a\u9884\u6d4b\u5206\u5272\u63a9\u7801\u7684\u5206\u652f\u6765\u6269\u5c55Faster R-CNN\uff0c\u5e76\u4e0e\u73b0\u6709\u7684\u7528\u4e8e\u5206\u7c7b\u548c\u8fb9\u6846\u56de\u5f52\u7684\u5206\u652f\u5e76\u884c\u3002\u63a9\u7801\u5206\u652f\u662f\u5e94\u7528\u4e8e\u6bcf\u4e2aRoI\u7684\u4e00\u4e2a\u5c0fFCN\uff0c\u4ee5\u50cf\u7d20\u5230\u50cf\u7d20\u7684\u65b9\u5f0f\u9884\u6d4b\u5206\u5272\u63a9\u7801\uff0c\u5e76\u4e14\u53ea\u4f1a\u589e\u52a0\u8f83\u5c0f\u7684\u8ba1\u7b97\u5f00\u9500\u3002Mask R-CNN\u662f\u57fa\u4e8eFaster R-CNN\u6846\u67b6\u800c\u6765\u7684\uff0c\u6613\u4e8e\u5b9e\u73b0\u548c\u8bad\u7ec3\uff0c\u6709\u52a9\u4e8e\u5e7f\u6cdb\u3001\u7075\u6d3b\u7684\u67b6\u6784\u8bbe\u8ba1\u3002<\/p>\n\n\n\n<p>\u539f\u5219\u4e0a\uff0cMask R-CNN\u662fFaster R-CNN\u7684\u76f4\u89c2\u6269\u5c55\uff0c\u4f46\u6b63\u786e\u6784\u5efa\u63a9\u7801\u5206\u652f\u5bf9\u4e8e\u83b7\u5f97\u597d\u7684\u7ed3\u679c\u81f3\u5173\u91cd\u8981\u3002\u6700\u91cd\u8981\u7684\u662f\uff0cFaster R-CNN\u7684\u8bbe\u8ba1\u6ca1\u6709\u8003\u8651\u7f51\u7edc\u8f93\u5165\u548c\u8f93\u51fa\u4e4b\u95f4\u7684\u50cf\u7d20\u5230\u50cf\u7d20\u7684\u5bf9\u9f50\u3002\u8fd9\u4e00\u70b9\u5728RoIPool(\u5904\u7406\u5b9e\u4f8b\u7684\u6838\u5fc3\u64cd\u4f5c)\u5982\u4f55\u6267\u884c\u7c97\u7a7a\u95f4\u91cf\u5316\u6765\u63d0\u53d6\u7279\u5f81\u4e0a\u8868\u73b0\u5f97\u6700\u4e3a\u660e\u663e\u3002\u4e3a\u4e86\u4fee\u6b63\u9519\u4f4d\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u3001\u6ca1\u6709\u91cf\u5316\u7684\u5c42\uff0c\u79f0\u4e3aRoIAlign\uff0c\u5b83\u5fe0\u5b9e\u5730\u4fdd\u7559\u4e86\u7cbe\u786e\u7684\u7a7a\u95f4\u4f4d\u7f6e\u3002\u5c3d\u7ba1\u8fd9\u770b\u8d77\u6765\u662f\u4e00\u4e2a\u5f88\u5c0f\u7684\u53d8\u5316\uff0c\u4f46\u662fRoIAlign\u6709\u5f88\u5927\u7684\u5f71\u54cd\uff1a\u5b83\u5c06\u63a9\u7801\u7cbe\u5ea6\u63d0\u9ad8\u4e8610%-50%\uff0c\u5728\u66f4\u4e25\u683c\u7684localization\u6307\u6807\u4e0b\u663e\u793a\u51fa\u66f4\u5927\u7684\u6536\u76ca\u3002\u5176\u6b21\uff0c\u6211\u4eec\u53d1\u73b0\u6709\u5fc5\u8981\u5c06\u63a9\u7801\u548c\u7c7b\u522b\u9884\u6d4b\u89e3\u8026\uff1a\u6211\u4eec\u4e3a\u6bcf\u4e2a\u7c7b\u522b\u72ec\u7acb\u9884\u6d4b\u4e00\u4e2a\u4e8c\u8fdb\u5236\u63a9\u7801\uff0c\u7c7b\u522b\u4e4b\u95f4\u6ca1\u6709\u7ade\u4e89\uff0c\u5e76\u4f9d\u9760\u7f51\u7edc\u7684RoI\u5206\u7c7b\u5206\u652f\u6765\u9884\u6d4b\u7c7b\u522b\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0cFCN\u901a\u5e38\u6267\u884c\u9010\u50cf\u7d20\u7684\u591a\u5206\u7c7b\u64cd\u4f5c\uff0c\u5c06\u5206\u5272\u548c\u5206\u7c7b\u8026\u5408\u5728\u4e00\u8d77\uff0c\u6211\u4eec\u7684\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\u8fd9\u79cd\u65b9\u6cd5\u7684\u5b9e\u4f8b\u5206\u5272\u6548\u679c\u4e0d\u4f73\u3002<\/p>\n\n\n\n<p>\u5728\u4e0d\u4f7f\u7528\u82b1\u54e8\u6280\u5de7\u7684\u60c5\u51b5\u4e0b\uff0cMask R-CNN\u5728COCO\u5b9e\u4f8b\u5206\u5272\u4efb\u52a1\u4e0a\u5c31\u8d85\u8d8a\u4e86\u4e4b\u524d\u7684\u6240\u6709SOTA\u5355\u6a21\u578b\uff0c\u5305\u62ecCOCO 2016\u6bd4\u8d5b\u7684\u51a0\u519b\u3002\u4f5c\u4e3a\u526f\u4ea7\u54c1\uff0c\u6211\u4eec\u7684\u65b9\u6cd5\u5728COCO\u76ee\u6807\u68c0\u6d4b\u4efb\u52a1\u4e0a\u4e5f\u8868\u73b0\u51fa\u8272\u3002\u5728\u6d88\u878d\u5b9e\u9a8c\u4e2d\uff0c\u6211\u4eec\u8bc4\u4f30\u4e86\u591a\u4e2a\u57fa\u672c\u5b9e\u4f8b\uff0c\u8fd9\u4f7f\u6211\u4eec\u80fd\u591f\u8bc1\u660eMask R-CNN\u7684\u9c81\u68d2\u6027\uff0c\u5e76\u5206\u6790\u5176\u6838\u5fc3\u56e0\u7d20\u7684\u5f71\u54cd\u3002<\/p>\n\n\n\n<p>\u6211\u4eec\u7684\u6a21\u578b\u53ef\u4ee5\u5728GPU\u4e0a\u4ee5\u6bcf\u5e27\u7ea6200ms\u7684\u901f\u5ea6\u8fd0\u884c\uff0c\u5728\u4e00\u53f08-GPU\u7684\u673a\u5668\u4e0a\u8fdb\u884cCOCO\u8bad\u7ec3\u9700\u89811-2\u5929\u3002\u6211\u4eec\u76f8\u4fe1\uff0c\u5feb\u901f\u7684\u8bad\u7ec3\u548c\u6d4b\u8bd5\uff0c\u4ee5\u53ca\u6846\u67b6\u7684\u7075\u6d3b\u6027\u548c\u51c6\u786e\u6027\uff0c\u5c06\u6709\u5229\u4e8e\u672a\u6765\u5b9e\u4f8b\u5206\u5272\u7684\u7814\u7a76\u3002<\/p>\n\n\n\n<p>\u6700\u540e\uff0c\u6211\u4eec\u901a\u8fc7COCO\u5173\u952e\u70b9\u6570\u636e\u96c6\u4e0a\u7684\u4eba\u4f53\u59ff\u6001\u4f30\u8ba1\u4efb\u52a1\u5c55\u793a\u4e86Mask R-CNN\u6846\u67b6\u7684\u901a\u7528\u6027\u3002\u901a\u8fc7\u5c06\u6bcf\u4e2a\u5173\u952e\u70b9\u89c6\u4e3a\u4e00\u4e2a\u72ec\u70ed\u4e8c\u8fdb\u5236\u63a9\u7801\uff0c\u53ea\u9700\u5bf9Mask R-CNN\u7a0d\u52a0\u4fee\u6539\uff0c\u5373\u53ef\u7528\u4e8e\u68c0\u6d4b\u7279\u5b9a\u5b9e\u4f8b\u7684\u59ff\u6001\u3002Mask R-CNN\u8d85\u8d8a\u4e86COCO 2016\u5173\u952e\u70b9\u68c0\u6d4b\u6bd4\u8d5b\u7684\u51a0\u519b\uff0c\u5e76\u4e14\u80fd\u591f\u4ee55\u5e27\/\u79d2\u7684\u901f\u5ea6\u8fd0\u884c\u3002\u56e0\u6b64\uff0cMask R-CNN\u53ef\u4ee5\u88ab\u66f4\u5e7f\u6cdb\u5730\u89c6\u4e3a\u4e00\u4e2a\u5b9e\u4f8b\u8bc6\u522b\u7684\u7075\u6d3b\u6846\u67b6\uff0c\u5e76\u4e14\u5f88\u5bb9\u6613\u6cdb\u5316\u5230\u5176\u4ed6\u66f4\u590d\u6742\u7684\u4efb\u52a1\u4e0a\u3002<\/p>\n\n\n\n<h2><strong>\u6a21\u578b\u65b9\u6cd5<\/strong><\/h2>\n\n\n\n<p>    Mask R-CNN\u65b9\u6cd5\u5f88\u7b80\u5355\uff1aFaster R-CNN\u5bf9\u6bcf\u4e2a\u5019\u9009\u5bf9\u8c61\u6709\u4e24\u4e2a\u8f93\u51fa\uff0c\u4e00\u4e2a\u662f\u7c7b\u522b\u6807\u7b7e\uff0c\u53e6\u4e00\u4e2a\u662f\u8fb9\u6846\u504f\u79fb\u91cf\u3002\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u6211\u4eec\u6dfb\u52a0\u4e86\u7b2c\u4e09\u4e2a\u5206\u652f\uff0c\u7528\u4e8e\u8f93\u51fa\u5206\u5272\u63a9\u7801\u3002\u56e0\u6b64\uff0cMask R-CNN\u662f\u4e00\u4e2a\u81ea\u7136\u4e14\u76f4\u89c2\u7684\u60f3\u6cd5\u3002\u4f46\u662f\u63a9\u7801\u8f93\u51fa\u4e0d\u540c\u4e8e\u7c7b\u522b\u548c\u8fb9\u6846\u8f93\u51fa\uff0c\u9700\u8981\u63d0\u53d6\u66f4\u7cbe\u7ec6\u7684\u5bf9\u8c61\u7a7a\u95f4\u5e03\u5c40\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86Mask R-CNN\u7684\u5173\u952e\u5143\u7d20\uff0c\u5305\u62ec\u50cf\u7d20\u5230\u50cf\u7d20\u5bf9\u9f50\uff0c\u8fd9\u662fFast\/Faster R-CNN\u6240\u7f3a\u5931\u7684\u90e8\u5206\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"913\" height=\"496\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-235.png\" alt=\"\" class=\"wp-image-8077\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-235.png 913w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-235-300x163.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-235-768x417.png 768w\" sizes=\"(max-width: 913px) 100vw, 913px\" \/><figcaption>\u7528\u4e8e\u5b9e\u4f8b\u5206\u5272\u7684Mask R-CNN\u6846\u67b6<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"888\" height=\"361\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-236.png\" alt=\"\" class=\"wp-image-8078\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-236.png 888w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-236-300x122.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-236-768x312.png 768w\" sizes=\"(max-width: 888px) 100vw, 888px\" \/><\/figure>\n\n\n\n<p>RoIAlign\uff1a\u865a\u7ebf\u7f51\u683c\u8868\u793a\u7279\u5f81\u6620\u5c04\u56fe\uff0c\u5b9e\u7ebf\u8fb9\u6846\u8868\u793aRoI(Region of Interest)\uff0c\u70b9\u8868\u793a\u6bcf\u4e2a\u8fb9\u6846\u4e2d\u76844\u4e2a\u91c7\u6837\u70b9\u3002RoIAlign\u901a\u8fc7\u53cc\u7ebf\u6027\u63d2\u503c\u4ece\u7279\u5f81\u6620\u5c04\u56fe\u4e0a\u7684\u76f8\u90bb\u7f51\u683c\u70b9\u8ba1\u7b97\u6bcf\u4e2a\u91c7\u6837\u70b9\u7684\u503c\u3002<\/p>\n\n\n\n<ul><li><strong>Network Architecture:<\/strong>&nbsp;\u4e3a\u4e86\u8868\u8ff0\u6e05\u6670\uff0c\u6709\u4e24\u79cd\u5206\u7c7b\u65b9\u6cd5<\/li><\/ul>\n\n\n\n<ol><li>\u4f7f\u7528\u4e86\u4e0d\u540c\u7684backbone\uff1aresnet-50\uff0cresnet-101\uff0cresnext-50\uff0cresnext-101\uff1b<\/li><li>\u4f7f\u7528\u4e86\u4e0d\u540c\u7684head Architecture\uff1aFaster&nbsp;<a href=\"https:\/\/so.csdn.net\/so\/search?q=RCNN&amp;spm=1001.2101.3001.7020\" target=\"_blank\" rel=\"noreferrer noopener\">RCNN<\/a>\u4f7f\u7528resnet50\u65f6\uff0c\u4eceBlock 4\u5bfc\u51fa\u7279\u5f81\u4f9bRPN\u4f7f\u7528\uff0c\u8fd9\u79cd\u53eb\u505aResNet-50-C4<\/li><li>\u4f5c\u8005\u4f7f\u7528\u9664\u4e86\u4f7f\u7528\u4e0a\u8ff0\u8fd9\u4e9b\u7ed3\u6784\u5916\uff0c\u8fd8\u4f7f\u7528\u4e86\u4e00\u79cd\u66f4\u52a0\u9ad8\u6548\u7684backbone\uff1aFPN\uff08\u7279\u5f81\u91d1\u5b57\u5854\u7f51\u7edc\uff09<\/li><\/ol>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-237.png\" alt=\"\" class=\"wp-image-8080\" width=\"690\" height=\"604\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-237.png 908w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-237-300x263.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-237-768x673.png 768w\" sizes=\"(max-width: 690px) 100vw, 690px\" \/><figcaption>Head\u67b6\u6784\uff1a\u6211\u4eec\u6269\u5c55\u4e86\u4e24\u4e2a\u73b0\u6709\u7684Faster R-CNN Head\u3002<br><\/figcaption><\/figure>\n\n\n\n<ul><li><strong>Mask R-CNN\u57fa\u672c\u7ed3\u6784\uff1a<\/strong>\u4e0eFaster RCNN\u91c7\u7528\u4e86\u76f8\u540c\u7684two-state\u7ed3\u6784\uff1a\u9996\u5148\u662f\u901a\u8fc7\u4e00\u9636\u6bb5\u7f51\u7edc\u627e\u51faRPN\uff0c\u7136\u540e\u5bf9RPN\u627e\u5230\u7684\u6bcf\u4e2aRoI\u8fdb\u884c\u5206\u7c7b\u3001\u5b9a\u4f4d\u3001\u5e76\u627e\u5230binary mask\u3002\u8fd9\u4e0e\u5f53\u65f6\u5176\u4ed6\u5148\u627e\u5230mask\u7136\u540e\u5728\u8fdb\u884c\u5206\u7c7b\u7684\u7f51\u7edc\u662f\u4e0d\u540c\u7684\u3002<\/li><li><strong>Mask R-CNN\u7684\u635f\u5931\u51fd\u6570<\/strong>\uff1a<img alt=\"L = L{_{cls}} + L{_{box}} + L{_{mask}}\" src=\"https:\/\/private.codecogs.com\/gif.latex?L%20%3D%20L%7B_%7Bcls%7D%7D%20&amp;plus;%20L%7B_%7Bbox%7D%7D%20&amp;plus;%20L%7B_%7Bmask%7D%7D\">&nbsp;\uff08\u5f53\u7136\u4e86\uff0c\u4f60\u53ef\u4ee5\u5728\u8fd9\u91cc\u8c03\u6743\u4ee5\u5b9e\u73b0\u66f4\u597d\u7684\u6548\u679c\uff09<\/li><li><strong>Mask\u7684\u8868\u73b0\u5f62\u5f0f(Mask Representation)\uff1a<\/strong>\u56e0\u4e3a\u6ca1\u6709\u91c7\u7528\u5168\u8fde\u63a5\u5c42\u5e76\u4e14\u4f7f\u7528\u4e86RoIAlign\uff0c\u6211\u4eec\u6700\u7ec8\u662f\u5728\u4e00\u4e2a\u5c0ffeature map\u4e0a\u505a\u5206\u5272\u3002<\/li><li><strong>RoIAlign\uff1a<\/strong>RoIPool\u7684\u76ee\u7684\u662f\u4e3a\u4e86\u4eceRPN\u7f51\u7edc\u786e\u5b9a\u7684ROI\u4e2d\u5bfc\u51fa\u8f83\u5c0f\u7684\u7279\u5f81\u56fe(a small feature map\uff0ceg 7&#215;7)\uff0cROI\u7684\u5927\u5c0f\u5404\u4e0d\u76f8\u540c\uff0c\u4f46\u662fRoIPool\u540e\u90fd\u53d8\u6210\u4e867&#215;7\u5927\u5c0f\u3002RPN\u7f51\u7edc\u4f1a\u63d0\u51fa\u82e5\u5e72RoI\u7684\u5750\u6807\u4ee5[x,y,w,h]\u8868\u793a\uff0c\u7136\u540e\u8f93\u5165RoI Pooling\uff0c\u8f93\u51fa7&#215;7\u5927\u5c0f\u7684\u7279\u5f81\u56fe\u4f9b\u5206\u7c7b\u548c\u5b9a\u4f4d\u4f7f\u7528\u3002\u95ee\u9898\u5c31\u51fa\u5728RoI Pooling\u7684\u8f93\u51fa\u5927\u5c0f\u662f7&#215;7\u4e0a\uff0c\u5982\u679cRON\u7f51\u7edc\u8f93\u51fa\u7684RoI\u5927\u5c0f\u662f8*8\u7684\uff0c\u90a3\u4e48\u65e0\u6cd5\u4fdd\u8bc1\u8f93\u5165\u50cf\u7d20\u548c\u8f93\u51fa\u50cf\u7d20\u662f\u4e00\u4e00\u5bf9\u5e94\uff0c\u9996\u5148\u4ed6\u4eec\u5305\u542b\u7684\u4fe1\u606f\u91cf\u4e0d\u540c\uff08\u6709\u7684\u662f1\u5bf91\uff0c\u6709\u7684\u662f1\u5bf92\uff09\uff0c\u5176\u6b21\u4ed6\u4eec\u7684\u5750\u6807\u65e0\u6cd5\u548c\u8f93\u5165\u5bf9\u5e94\u8d77\u6765\u3002\u8fd9\u5bf9\u5206\u7c7b\u6ca1\u4ec0\u4e48\u5f71\u54cd\uff0c\u4f46\u662f\u5bf9\u5206\u5272\u5374\u5f71\u54cd\u5f88\u5927\u3002RoIAlign\u7684\u8f93\u51fa\u5750\u6807\u4f7f\u7528\u63d2\u503c\u7b97\u6cd5\u5f97\u5230\uff0c\u4e0d\u518d\u662f\u7b80\u5355\u7684\u91cf\u5316\uff1b\u6bcf\u4e2agrid\u4e2d\u7684\u503c\u4e5f\u4e0d\u518d\u4f7f\u7528max\uff0c\u540c\u6837\u4f7f\u7528\u5dee\u503c\u7b97\u6cd5\u3002<\/li><\/ul>\n\n\n\n<h2>Implementation Details<\/h2>\n\n\n\n<p>\u4f7f\u7528Fast\/Faster\u76f8\u540c\u7684\u8d85\u53c2\u6570\uff0c\u540c\u6837\u9002\u7528\u4e8eMask RCNN<\/p>\n\n\n\n<ul><li><strong>Training:<\/strong><\/li><\/ul>\n\n\n\n<p>1\u3001\u4e0e\u4e4b\u524d\u76f8\u540c\uff0c\u5f53IoU\u4e0eGround Truth\u7684IoU\u5927\u4e8e0.5\u65f6\u624d\u4f1a\u88ab\u8ba4\u4e3a\u6709\u6548\u7684RoI\uff0c<img alt=\"L{_{mask}}\" src=\"https:\/\/private.codecogs.com\/gif.latex?L%7B_%7Bmask%7D%7D\">\u53ea\u628a\u6709\u6548RoI\u8ba1\u7b97\u8fdb\u53bb\u3002<\/p>\n\n\n\n<p>2\u3001\u91c7\u7528image-centric training\uff0c\u56fe\u50cf\u77ed\u8fb9resize\u5230800\uff0c\u6bcf\u4e2aGPU\u7684mini-batch\u8bbe\u7f6e\u4e3a2\uff0c\u6bcf\u4e2a\u56fe\u50cf\u751f\u6210N\u4e2aRoI\uff0c\u5728\u4f7f\u7528ResNet-50-C4\u00a0\u4f5c\u4e3abackbone\u65f6\uff0cN=64\uff0c\u5728\u4f7f\u7528FPN\u4f5c\u4e3abackbone\u65f6\uff0cN=512\u3002\u4f5c\u8005\u670d\u52a1\u5668\u4e2d\u4f7f\u7528\u4e868\u5757GPU\uff0c\u6240\u4ee5\u603b\u7684minibatch\u662f16\uff0c \u8fed\u4ee3\u4e86160k\u6b21\uff0c\u521d\u59cblr=0.02\uff0c\u5728\u8fed\u4ee3\u5230120k\u6b21\u65f6\uff0c\u5c06lr\u8bbe\u5b9a\u5230 lr=0.002\uff0c\u53e6\u5916\u5b66\u4e60\u7387\u7684weight_decay=0.0001 momentum = 0.9\u3002\u5982\u679c\u662fresnext\uff0c\u521d\u59cblr=0.01,\u6bcf\u4e2aGPU\u7684mini-batch\u662f1\u3002<\/p>\n\n\n\n<p>3\u3001RPN\u7684anchors\u67095\u79cdscale\uff0c3\u79cdratios\u3002\u4e3a\u4e86\u65b9\u4fbf\u5265\u79bb\u3001\u5982\u679c\u6ca1\u6709\u7279\u522b\u6307\u51fa\uff0c\u5219RPN\u7f51\u7edc\u662f\u5355\u72ec\u8bad\u7ec3\u7684\u4e14\u4e0d\u4e0eMask R-CNN\u5171\u4eab\u6743\u91cd\u3002\u4f46\u662f\u5728\u672c\u8bba\u6587\u4e2d\uff0cRPN\u548cMask R-CNN\u4f7f\u7528\u4e00\u4e2abackbone\uff0c\u6240\u4ee5\u4ed6\u4eec\u7684\u6743\u91cd\u662f\u5171\u4eab\u7684\u3002\uff08Ablation Experiments \u4e3a\u4e86\u65b9\u4fbf\u7814\u7a76\u6574\u4e2a\u7f51\u7edc\u4e2d\u54ea\u4e2a\u90e8\u5206\u5176\u7684\u4f5c\u7528\u5230\u5e95\u6709\u591a\u5927\uff0c\u9700\u8981\u628a\u5404\u90e8\u5206\u5265\u79bb\u5f00\uff09<\/p>\n\n\n\n<ul><li><strong>Inference\uff1a<\/strong>\u5728\u6d4b\u8bd5\u65f6\uff0c\u4f7f\u7528ResNet-50-C4\u4f5c\u4e3a backbone\u60c5\u51b5\u4e0bproposal number=300\uff0c\u4f7f\u7528FPN\u4f5c\u4e3a backbone\u65f6proposal number=1000\u3002\u7136\u540e\u5728\u8fd9\u4e9bproposal\u4e0a\u8fd0\u884cbbox\u9884\u6d4b\uff0c\u63a5\u7740\u8fdb\u884c\u975e\u6781\u5927\u503c\u6291\u5236\u3002mask\u5206\u652f\u53ea\u5e94\u7528\u5728\u5f97\u5206\u6700\u9ad8\u7684100\u4e2aproposal\u4e0a\u3002\u987a\u5e8f\u548ctrain\u662f\u4e0d\u540c\u7684\uff0c\u4f46\u8fd9\u6837\u505a\u53ef\u4ee5\u63d0\u9ad8\u901f\u5ea6\u548c\u7cbe\u5ea6\u3002mask \u5206\u652f\u5bf9\u4e8e\u6bcf\u4e2aroi\u53ef\u4ee5\u9884\u6d4bk\u4e2a\u7c7b\u522b\uff0c\u4f46\u662f\u6211\u4eec\u53ea\u8981\u80cc\u666f\u548c\u524d\u666f\u4e24\u79cd\uff0c\u6240\u4ee5\u53ea\u7528k-th mask\uff0ck\u662f\u6839\u636e\u5206\u7c7b\u5206\u652f\u5f97\u5230\u7684\u7c7b\u578b\u3002\u7136\u540e\u628ak-th mask resize\u6210roi\u5927\u5c0f\uff0c\u540c\u65f6\u4f7f\u7528\u9608\u503c\u5206\u5272(threshold=0.5)\u4e8c\u503c\u5316<\/li><\/ul>\n\n\n\n<h2>Experiments<\/h2>\n\n\n\n<h3 id=\"4.1%20Main%20Results\">Main Results<\/h3>\n\n\n\n<p>\u5728\u4e0b\u56fe\u4e2d\u53ef\u4ee5\u660e\u663e\u770b\u51fa\uff0cFCIS\u7684\u5206\u5272\u7ed3\u679c\u4e2d\u90fd\u4f1a\u51fa\u73b0\u4e00\u6761\u7ad6\u7740\u7684\u7ebf(systematic artifacts)\uff0c\u8fd9\u7ebf\u4e3b\u8981\u51fa\u73b0\u5728\u7269\u4f53\u91cd\u7684\u90e8\u5206\uff0c\u4f5c\u8005\u8ba4\u4e3a\u8fd9\u662fFCIS\u67b6\u6784\u7684\u95ee\u9898\uff0c\u65e0\u6cd5\u89e3\u51b3\u7684\u3002\u4f46\u662f\u5728Mask RCNN\u4e2d\u6ca1\u6709\u51fa\u73b0\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"697\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-238-1024x697.png\" alt=\"\" class=\"wp-image-8082\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-238-1024x697.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-238-300x204.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-238-768x523.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-238.png 1457w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h3 id=\"4.2%C2%A0%C2%A0Ablation%20Experiments%EF%BC%88%E5%89%A5%E7%A6%BB%E5%AE%9E%E9%AA%8C%EF%BC%89\">Ablation Experiments\uff08\u5265\u79bb\u5b9e\u9a8c\uff09<\/h3>\n\n\n\n<ul><li><strong>Architecture:<\/strong><br>\u4ecetable 2a\u4e2d\u770b\u51fa\uff0cMask RCNN\u968f\u7740\u589e\u52a0\u7f51\u7edc\u7684\u6df1\u5ea6\u3001\u91c7\u7528\u66f4\u5148\u8fdb\u7684\u7f51\u7edc\uff0c\u90fd\u53ef\u4ee5\u63d0\u9ad8\u6548\u679c\u3002\u6ce8\u610f\uff1a\u5e76\u4e0d\u662f\u6240\u6709\u7684\u7f51\u7edc\u90fd\u662f\u8fd9\u6837\u3002<\/li><li><strong>Multinomial vs. Independent Masks:(mask\u5206\u652f\u662f\u5426\u8fdb\u884c\u7c7b\u522b\u9884\u6d4b)<\/strong>\u4ecetable 2b\u4e2d\u53ef\u4ee5\u770b\u51fa\uff0c\u4f7f\u7528sigmoid(\u4e8c\u5206\u7c7b)\u548c\u4f7f\u7528softmax(\u591a\u7c7b\u522b\u5206\u7c7b)\u7684AP\u76f8\u5dee\u5f88\u5927\uff0c\u8bc1\u660e\u4e86\u5206\u79bb\u7c7b\u522b\u548cmask\u7684\u9884\u6d4b\u662f\u5f88\u6709\u5fc5\u8981\u7684<\/li><li><strong>Class-Specific vs. Class-Agnostic Masks:<\/strong>\u76ee\u524d\u4f7f\u7528\u7684mask rcnn\u90fd\u4f7f\u7528class-specific masks\uff0c\u5373\u6bcf\u4e2a\u7c7b\u522b\u90fd\u4f1a\u9884\u6d4b\u51fa\u4e00\u4e2amxm\u7684mask\uff0c\u7136\u540e\u6839\u636e\u7c7b\u522b\u9009\u53d6\u5bf9\u5e94\u7684\u7c7b\u522b\u7684mask\u3002\u4f46\u662f\u4f7f\u7528Class-Agnostic Masks\uff0c\u5373\u5206\u5272\u7f51\u7edc\u53ea\u8f93\u51fa\u4e00\u4e2amxm\u7684mask\uff0c\u53ef\u4ee5\u53d6\u5f97\u76f8\u4f3c\u7684\u6210\u7ee929.7vs30.3<\/li><li><strong>RoIAlign:<\/strong>tabel 2c\u8bc1\u660e\u4e86RoIAlign\u7684\u6027\u80fd<\/li><li><strong>Mask Branch:<\/strong>tabel 2e\uff0cFCN\u6bd4MLP\u6027\u80fd\u66f4\u597d<\/li><\/ul>\n\n\n\n<p>Bounding Box Detection Results\u00a0 \u00a0\u00a0<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"263\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-239-1024x263.png\" alt=\"\" class=\"wp-image-8084\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-239-1024x263.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-239-300x77.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-239-768x197.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/09\/image-239.png 1487w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul><li>Mask RCNN\u7cbe\u5ea6\u9ad8\u4e8eFaster RCNN<\/li><li>Faster RCNN\u4f7f\u7528RoI Align\u7684\u7cbe\u5ea6\u66f4\u9ad8<\/li><li>Mask RCNN\u7684\u5206\u5272\u4efb\u52a1\u5f97\u5206\u4e0e\u5b9a\u4f4d\u4efb\u52a1\u5f97\u5206\u76f8\u8fd1\uff0c\u8bf4\u660eMask RCNN\u5df2\u7ecf\u7f29\u5c0f\u4e86\u8fd9\u90e8\u5206\u5dee\u8ddd\u3002<\/li><\/ul>\n\n\n\n<h3 id=\"4.4.%20Timing%C2%A0\">Timing&nbsp;<\/h3>\n\n\n\n<ul><li><strong>Inference\uff1a<\/strong>195ms\u4e00\u5f20\u56fe\u7247\uff0c\u663e\u5361Nvidia Tesla M40\u3002\u5176\u5b9e\u8fd8\u6709\u901f\u5ea6\u63d0\u5347\u7684\u7a7a\u95f4\uff0c\u6bd4\u5982\u51cf\u5c11proposal\u7684\u6570\u91cf\u7b49\u3002<\/li><li><strong>Training\uff1a<\/strong>ResNet-50-FPN on COCO trainval35k takes 32 hours&nbsp; in our synchronized 8-GPU implementation (0.72s per 16-image mini-batch)\uff0cand 44 hours with ResNet-101-FPN\u3002<\/li><\/ul>\n\n\n\n<h2>Mask R-CNN for Human Pose Estimation<\/h2>\n\n\n\n<p>\u8ba9Mask R-CNN\u9884\u6d4bk\u4e2amasks\uff0c\u6bcf\u4e2amask\u5bf9\u5e94\u4e00\u4e2a\u5173\u952e\u70b9\u7684\u7c7b\u578b\uff0c\u6bd4\u5982\u5de6\u80a9\u3001\u53f3\u8098\uff0c\u53ef\u4ee5\u7406\u89e3\u4e3aone-hot\u5f62\u5f0f\u3002<\/p>\n\n\n\n<ul><li>\u4f7f\u7528cross entropy loss\uff0c\u53ef\u4ee5\u9f13\u52b1\u7f51\u7edc\u53ea\u68c0\u6d4b\u4e00\u4e2a\u5173\u952e\u70b9;<\/li><li>ResNet-FPN\u7ed3\u6784<\/li><li>\u8bad\u7ec3\u4e8690k\u6b21\uff0c\u6700\u5f00\u59cblr=0.02\uff0c\u5728\u8fed\u4ee360k\u6b21\u65f6\uff0clr=0.002,80k\u6b21\u65f6\u53d8\u4e3a0.0002<\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\u8bba\u6587\uff1ahttp:\/\/cn.arxiv.org\/pdf\/1703.06870v3 \u4ee3\u7801\uff1ahttps:\/\/gith &hellip; <a href=\"http:\/\/139.9.1.231\/index.php\/2022\/09\/25\/mask-rcnn\/\" class=\"more-link\">\u7ee7\u7eed\u9605\u8bfb<span class=\"screen-reader-text\">Mask-RCNN\u8bba\u6587<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[24,25,9],"tags":[],"_links":{"self":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/8059"}],"collection":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/comments?post=8059"}],"version-history":[{"count":22,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/8059\/revisions"}],"predecessor-version":[{"id":8089,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/8059\/revisions\/8089"}],"wp:attachment":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/media?parent=8059"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/categories?post=8059"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/tags?post=8059"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}