{"id":6615,"date":"2022-08-30T10:19:00","date_gmt":"2022-08-30T02:19:00","guid":{"rendered":"http:\/\/139.9.1.231\/?p=6615"},"modified":"2022-09-07T22:19:47","modified_gmt":"2022-09-07T14:19:47","slug":"pspnet","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2022\/08\/30\/pspnet\/","title":{"rendered":"PSPNet\uff1aPyramid Attention Networkfor Semantic Segmentation"},"content":{"rendered":"\n<p><strong><em>\u539f\u6587\u5730\u5740\uff1a<a rel=\"noreferrer noopener\" href=\"https:\/\/arxiv.org\/pdf\/1612.01105.pdf\" target=\"_blank\">https:\/\/arxiv.org\/pdf\/1612.01105.pdf<\/a><\/em><\/strong><br><strong><em>\u8bba\u6587\u4ee3\u7801\uff1a<\/em><\/strong><a href=\"https:\/\/github.com\/hszhao\/PSPNet\">https:\/\/github.com\/hszhao\/PSPNe<\/a>t<\/p>\n\n\n\n<p><em>\u89e3\u8bfb\uff1a<\/em><br><em>\u672c\u6587\u7684\u4e3b\u8981\u521b\u65b0\u70b9\u5728\u4e8e\u63d0\u51fa\u4e86\u7a7a\u95f4\u91d1\u5b57\u5854\u6c60\u5316\u6a21\u5757\uff0c\u7b80\u5355\u6765\u8bf4\u5c31\u662f\u5728encoder\u4e4b\u540e\u5f97\u5230feature map X\uff0c\u4f7f\u7528\u4e0d\u540c\u5c3a\u5bf8\u7684kernel\u8fdb\u884c\u6c60\u5316\uff08avepooling\uff09\u64cd\u4f5c\uff0c\u4e4b\u540e\u5bf9\u5f97\u5230\u7684feature map\u8fdb\u884c\u4e0a\u91c7\u6837\uff0c\u4f7f\u5f97\u5c3a\u5bf8\u548cX\u5927\u5c0f\u4e00\u6837\uff0c\u7136\u540e\u8fdb\u884c\u7ea7\u8054\uff0c\u8fdb\u800c\u7ecf\u8fc7\u5377\u79ef\u64cd\u4f5c\u5f97\u5230map\u3002\u548c\u7ecf\u5178\u7684FCN\u7684\u533a\u522b\u662f\u5728encoder\u548cdecoder\u4e4b\u95f4\u52a0\u5165\u4e86PSP\u6a21\u5757\u3002<\/em><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"903\" height=\"187\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/08\/image-431.png\" alt=\"\" class=\"wp-image-6619\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/08\/image-431.png 903w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/08\/image-431-300x62.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/08\/image-431-768x159.png 768w\" sizes=\"(max-width: 903px) 100vw, 903px\" \/><\/figure>\n\n\n\n<p>      \u573a\u666f\u89e3\u6790\uff08scene parsing\uff09\u662f\u8bed\u4e49\u5206\u5272\u7684\u4e00\u4e2a\u91cd\u8981\u5e94\u7528\u65b9\u5411\uff0c\u533a\u522b\u4e8e\u4e00\u822c\u7684\u8bed\u4e49\u5206\u5272\u4efb\u52a1\uff0c\u573a\u666f\u89e3\u6790\u9700\u8981\u5728\u590d\u6742\u7684\u81ea\u7136\u56fe\u50cf\u573a\u666f\u4e0b\u5bf9\u66f4\u5e9e\u5927\u7684\u7269\u4f53\u7c7b\u522b\u7684\u6bcf\u4e00\u4e2a\u50cf\u7d20\u8fdb\u884c\u5206\u7c7b\uff0c\u573a\u666f\u89e3\u6790\u5728\u81ea\u52a8\u9a7e\u9a76\u548c\u673a\u5668\u4eba\u611f\u77e5\u7b49\u65b9\u5411\u5e94\u7528\u5e7f\u6cdb\u3002\u4f46\u7531\u4e8e\u81ea\u7136\u573a\u666f\u7684\u590d\u6742\u6027\u3001\u8bed\u4e49\u6807\u7b7e\u7684\u591a\u6837\u6027\u4ee5\u53ca\u76ee\u6807\u7269\u4f53\u7684\u591a\u53d8\u6027\uff0c\u5bf9\u4e8e\u573a\u666f\u89e3\u6790\u95ee\u9898\u7684\u7814\u7a76\u4e00\u76f4\u5b58\u5728\u8bf8\u591a\u56f0\u96be\u3002<\/p>\n\n\n\n<p>\u573a\u666f\u89e3\u6790\u4e00\u822c\u57fa\u4e8eFCN\u548c\u7a7a\u6d1e\u5377\u79ef\u7f51\u7edc\u6765\u8fdb\u884c\u7ed3\u6784\u8bbe\u8ba1\uff0c\u540e\u7eed\u7684\u6539\u8fdb\u65b9\u6848\u4e3b\u8981\u6709\u4e24\u4e2a\u65b9\u5411\uff0c\u4e00\u79cd\u662f\u591a\u5c3a\u5ea6\u7279\u5f81\u96c6\u6210\uff0c\u5b66\u754c\u666e\u904d\u7684\u89c2\u70b9\u8ba4\u4e3a\u6df1\u5c42\u7279\u5f81\u80fd\u591f\u63d0\u53d6\u56fe\u50cf\u7684\u8bed\u4e49\u4fe1\u606f\u4f46\u7f3a\u4e4f\u5b9a\u4f4d\u4fe1\u606f\uff0c\u5c06\u591a\u5c3a\u5ea6\u7684\u7279\u5f81\u96c6\u6210\u8d77\u6765\u80fd\u591f\u663e\u8457\u63d0\u5347\u6a21\u578b\u6548\u679c\u3002\u53e6\u4e00\u4e2a\u5219\u662f\u7ed3\u5408\u56fe\u6a21\u578b\u7684\u7ed3\u6784\u9884\u6d4b\uff0c\u6bd4\u5982\u8bf4\u4f7f\u7528CRF\u8fdb\u884c\u540e\u5904\u7406\u6765\u4f18\u5316\u56fe\u50cf\u5206\u5272\u7ed3\u679c\uff0c\u8fd9\u4e9b\u6539\u8fdb\u65b9\u6848\u867d\u7136\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u90fd\u80fd\u7f13\u89e3\u50cf\u7d20\u5b9a\u4f4d\u95ee\u9898\uff0c\u4f46\u5bf9\u4e8e\u66f4\u4e3a\u590d\u6742\u7684\u56fe\u50cf\u573a\u666f\u4ecd\u7136\u6548\u679c\u6709\u9650\u3002\u5c06\u5168\u5c40\u4fe1\u606f\u52a0\u5165\u5230\u8bed\u4e49\u5206\u5272\u7f51\u7edc\u4e2d\u7684\u8bbe\u8ba1\u4e5f\u6709\u5f88\u591a\u7814\u7a76\u63d0\u5230\uff0c\u6bd4\u5982ParseNet\uff0c\u901a\u8fc7\u7ed9FCN\u8865\u5145\u5168\u5c40\u5e73\u5747\u6c60\u5316\u6765\u63d0\u5347\u5206\u5272\u6548\u679c\u3002\u4f46\u8fd9\u79cd\u5168\u5c40\u4fe1\u606f\u4e0d\u8db3\u4ee5\u5728\u4e00\u4e9b\u590d\u6742\u7684\u573a\u666f\u89e3\u6790\u6570\u636e\u96c6\u4e0a\u4f53\u73b0\u6548\u679c\uff0c\u6bd4\u5982\u5305\u62ec150\u4e2a\u8bed\u4e49\u7c7b\u522b\u7684ADE20K\u6570\u636e\u96c6\u3002\u603b\u7ed3\u6765\u770b\uff0cFCN\u5bf9\u4e8e\u590d\u6742\u7684\u573a\u666f\u89e3\u6790\u5b58\u5728\u5982\u4e0b\u4e09\u4e2a\u95ee\u9898\uff1a<\/p>\n\n\n\n<p>\uff081\uff09\u50cf\u7d20\u4e0a\u4e0b\u6587\u5173\u7cfb\u4e0d\u5339\u914d\u3002\u5728\u8bed\u4e49\u5206\u5272\u4e2d\uff0c\u56fe\u50cf\u4e0a\u4e0b\u6587\u4fe1\u606f\u975e\u5e38\u91cd\u8981\uff0c\u4e0d\u540c\u7684\u50cf\u7d20\u7c7b\u522b\u4e4b\u95f4\u5f80\u5f80\u5b58\u5728\u7740\u5171\u73b0\u7684\u89c6\u89c9\u6a21\u5f0f\uff0c\u6bd4\u5982\u8bf4\u98de\u673a\u901a\u5e38\u53ea\u4f1a\u51fa\u73b0\u5728\u8dd1\u9053\u4e0a\u6216\u8005\u7a7a\u4e2d\uff0c\u800c\u4e0d\u4f1a\u51fa\u73b0\u5728\u9a6c\u8def\u4e0a\uff0c\u6240\u4ee5\u98de\u673a\u548c\u8dd1\u9053\u4ee5\u53ca\u5929\u7a7a\u8fd9\u4e09\u4e2a\u5bf9\u8c61\u4e4b\u95f4\u5b58\u5728\u7740\u5171\u73b0\u6a21\u5f0f\u3002<\/p>\n\n\n\n<p>\uff082\uff09\u8bed\u4e49\u6807\u7b7e\u7684\u6df7\u6dc6\u3002ADE20K\u6570\u636e\u96c6\u4e2d\u6709\u5927\u91cf\u8bed\u4e49\u76f8\u8fd1\u7684\u7c7b\u522b\uff0c\u6bd4\u5982\u9ad8\u5c71\u4e0e\u4e18\u9675\u3001\u5efa\u7b51\u4e0e\u6469\u5929\u5927\u697c\u7b49\u3002FCN\u5728\u8fd9\u79cd\u5bb9\u6613\u6df7\u6dc6\u7684\u7c7b\u522b\u4e0a\u5f88\u96be\u505a\u51fa\u51c6\u786e\u7684\u5224\u65ad\u3002<\/p>\n\n\n\n<p>\uff083\uff09\u5c0f\u76ee\u6807\u7c7b\u522b\u9884\u6d4b\u56f0\u96be\u3002\u5728\u573a\u666f\u89e3\u6790\u4e2d\uff0c\u76ee\u6807\u7269\u4f53\u53ef\u4ee5\u662f\u4efb\u610f\u5927\u5c0f\uff0c\u6240\u4ee5\u6709\u65f6\u5019\u5bf9\u4e8e\u5c0f\u76ee\u6807\u7269\u4f53\u9884\u6d4b\u6548\u679c\u5c31\u5f88\u5dee\uff0c\u6bd4\u5982\u8bf4\u5bf9\u8def\u706f\u548c\u5e7f\u544a\u724c\u7684\u8bc6\u522b\uff0cFCN\u8868\u73b0\u5c31\u975e\u5e38\u4e0d\u597d\u3002<\/p>\n\n\n\n<p>\u9488\u5bf9\u4e0a\u8ff0\u95ee\u9898\uff0c\u76f8\u5173\u5b66\u8005\u57fa\u4e8e<strong>\u7a7a\u95f4\u91d1\u5b57\u5854\u6c60\u5316\uff08Spatial Pyramid Pooling, SPP\uff09<\/strong>\u63d0\u51fa\u4e86\u4e00\u79cd\u66f4\u4e3a\u5e7f\u6cdb\u7684\u3001\u57fa\u4e8e\u4e0d\u540c\u56fe\u50cf\u533a\u57df\u7684\u5168\u5c40\u4e0a\u4e0b\u6587\u4fe1\u606f\u96c6\u6210\u7ed3\u6784\uff1aPSPNet\uff0c\u63d0\u51faPSPNet\u7684\u8bba\u6587\u4e3aPyramid Scene Parsing Network\uff0c\u662f\u591a\u5c3a\u5ea6\u4e0a\u4e0b\u6587\u7ed3\u6784\u65b9\u5411\u7684\u4e00\u4e2a\u91cd\u8981\u7684\u7f51\u7edc\u8bbe\u8ba1\u3002PSPNet\u7f51\u7edc\u7ed3\u6784\u5982\u56fe1\u6240\u793a\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"998\" height=\"387\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/08\/image-432.png\" alt=\"\" class=\"wp-image-6624\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/08\/image-432.png 998w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/08\/image-432-300x116.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/08\/image-432-768x298.png 768w\" sizes=\"(max-width: 998px) 100vw, 998px\" \/><\/figure>\n\n\n\n<p>\u53ef\u4ee5\u770b\u5230\uff0c\u5c06\u8f93\u5165\u56fe\u50cf\uff08a\uff09\u7ecf\u8fc7CNN\u7f51\u7edc\u63d0\u53d6\u4e4b\u540e\u7684\u7279\u5f81\u56fe\uff08b\uff09\u9001\u5165\u5230\u4e00\u4e2a\u91d1\u5b57\u5854\u6c60\u5316\u6a21\u5757\uff08Pyramid Pooling Module\uff0cPPM\uff09\uff0c\u5728\u8be5\u6a21\u5757\u4e2d\uff08c\uff09\uff0c\u4f7f\u7528\u56db\u79cd\u4e0d\u540c\u5c3a\u5ea6\u7684\u5168\u5c40\u6c60\u5316\uff081*1\u30012*2\u30013*3\u548c6*6\uff09\u8fdb\u884c\u4e0b\u91c7\u6837\u5e76\u7ed3\u54081*1\u5377\u79ef\u6765\u751f\u6210\u964d\u7ef4\u540e\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\u8868\u5f81\u3002\u7136\u540e\u76f4\u63a5\u4f7f\u7528\u53cc\u7ebf\u6027\u63d2\u503c\u5bf9\u4f4e\u5206\u8fa8\u7387\u7684\u7279\u5f81\u56fe\u8fdb\u884c\u4e0a\u91c7\u6837\uff0c\u5e76\u4e0e\u9636\u6bb5(b)\u7684\u7279\u5f81\u56fe\u8fdb\u884c\u8fde\u63a5\uff0c\u5f62\u6210\u6700\u7ec8\u7684\u5168\u5c40\u91d1\u5b57\u5854\u6c60\u5316\u7279\u5f81\uff0c\u6700\u540e\u518d\u8fdb\u884c\u4e00\u7ec4\u5377\u79ef\u540e\u5f62\u6210\u6700\u7ec8\u7684\u8bed\u4e49\u5206\u5272\u9884\u6d4b\u7ed3\u679c\uff08d\uff09\u3002\u57fa\u4e8e\u4e0a\u8ff0\u7ed3\u6784\uff0cPSPNet\u5bf9\u4e8e\u573a\u666f\u89e3\u6790\u4efb\u52a1\u80fd\u591f\u63d0\u4f9b\u6709\u6548\u7684\u5168\u5c40\u4e0a\u4e0b\u6587\u5148\u9a8c\u4fe1\u606f\uff0cPPM\u76f8\u8f83\u4e8e\u76f4\u63a5\u7684\u5168\u5c40\u6c60\u5316\uff0c\u80fd\u591f\u6536\u96c6\u591a\u5c3a\u5ea6\u7684\u4fe1\u606f\u8868\u5f81\uff0c\u5e76\u4e14\u5728\u8ba1\u7b97\u5f00\u9500\u4e0a\u76f8\u6bd4\u4e8eFCN\u4e5f\u589e\u52a0\u4e0d\u591a\u3002\u6b64\u5916PSPNet\u8bad\u7ec3\u65f6\u4e3a\u9632\u6b62\u68af\u5ea6\u6d88\u5931\u8fd8\u6dfb\u52a0\u4e86\u8f85\u52a9\u635f\u5931\u51fd\u6570\u4f5c\u4e3a\u4e00\u79cd\u6df1\u76d1\u7763\u673a\u5236\u3002<\/p>\n\n\n\n<p>&nbsp;PSPNet\u5728ADE20K\u3001PASCAL VOC 2012\u4ee5\u53caCityscapes\u6570\u636e\u96c6\u4e0a\u5206\u522b\u8fdb\u884c\u4e86\u6d4b\u8bd5\uff0c\u5747\u80fd\u8fbe\u5230\u5f53\u65f6SOTA\u7684\u5206\u5272\u6c34\u5e73\u3002\u53e6\u5916\u4e5f\u5728\u8f85\u52a9\u635f\u5931\u51fd\u6570\u548c\u9884\u8bad\u7ec3\u6a21\u578b\u7b49\u65b9\u9762\u505a\u4e86\u5145\u5206\u7684\u6d88\u878d\u5b9e\u9a8c\uff08ablation study\uff09\u3002PSPNet\u5728ADE20K\u6570\u636e\u96c6\u4e0a\u7684\u4e00\u7ec4\u6d4b\u8bd5\u6548\u679c\u5982\u56fe2\u6240\u793a\u3002\u5728\u4e09\u5f20\u6d4b\u8bd5\u56fe\u50cf\u4e0a\uff0cFCN\u4e0d\u80fd\u591f\u6355\u6349\u56fe\u50cf\u4e0a\u4e0b\u6587\u5173\u7cfb\uff08\u5c06\u7b2c\u4e00\u5f20\u56fe\u50cf\u4e2d\u6c34\u9762\u4e0a\u7684\u8239\u53ea\u8bc6\u522b\u4e3a\u6c7d\u8f66\uff09\uff0c\u4f46PSPNet\u5747\u80fd\u591f\u5f97\u5230\u5f88\u597d\u7684\u5206\u5272\u6548\u679c\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"912\" height=\"509\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/08\/image-433.png\" alt=\"\" class=\"wp-image-6626\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/08\/image-433.png 912w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/08\/image-433-300x167.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/08\/image-433-768x429.png 768w\" sizes=\"(max-width: 912px) 100vw, 912px\" \/><\/figure>\n\n\n\n<p>\u7f51\u7edc\u7ed3\u6784<\/p>\n\n\n\n<ul><li>encoder\u3002\u4f7f\u7528\u4e86\u9884\u8bad\u7ec3\u7684ResNet\uff0c\u91cc\u9762\u4f7f\u7528\u4e86\u5b54\u6d1e\u5377\u79ef\uff08\u540e\u9762\u51e0\u5c42\u6ca1\u6709\u4e0b\u91c7\u6837\uff0c\u5168\u90e8\u4f7f\u7528\u7a7a\u6d1e\u5377\u79ef\uff09\u3002\u6700\u540e\u8f93\u51fa\u7684feature map\u662f\u539f\u56fe\u76841\/8\u3002\u7c7b\u4f3c\u4e0b\u56fe<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic4.zhimg.com\/v2-47b43a2b2efd5672afa5ff6a208ad03b_r.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u5728encoder\u4e4b\u540e\uff0c\u4f7f\u7528\u4e86\u91d1\u5b57\u5854\u6c60\u5316\u6a21\u5757\uff0c\u4f7f\u7528\u4e86\u56db\u79cd\u5c3a\u5bf8\u7684\u91d1\u5b57\u5854\uff0c\u6c60\u5316\u6240\u7528\u7684kerne\u5206\u522b1\u00d71, 2\u00d72, 3\u00d73 and 6\u00d76\u3002\u6c60\u5316\u4e4b\u540e\u4e0a\u91c7\u6837\uff0c\u7136\u540e\u5c06\u5f97\u5230\u7684feature map,\u5305\u62ec\u6c60\u5316\u4e4b\u524d\u7684\u505a\u4e00\u4e2a\u7ea7\u8054\uff08concatenate),\u540e\u9762\u63a5\u4e00\u4e2a\u5377\u79ef\u5c42\u5f97\u5230\u6700\u7ec8\u7684\u9884\u6d4b\u56fe\u50cf\u3002\u4f5c\u8005\u63d0\u5230\uff0c\u548c\u5168\u5c40\u6c60\u5316\u76f8\u6bd4\uff0c\u91d1\u5b57\u5854\u6c60\u5316\u80fd\u63d0\u53d6\u591a\u5c3a\u5ea6\u7684\u4fe1\u606f\u3002<\/p>\n\n\n\n<p>\u4e0b\u8ff0\u4ee3\u7801\u7ed9\u51fa\u4e86PSPNet\u7f51\u7edc\u7ed3\u6784\u7684\u4e00\u4e2a\u7b80\u5355\u5b9e\u73b0\u6d41\u7a0b\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>\n### \u5b9a\u4e49PPM\u6a21\u5757\u7c7b\nclass _PyramidPoolingModule(nn.Module):\n    def __init__(self, in_dim, reduction_dim, setting):\n        super(_PyramidPoolingModule, self).__init__()\n        self.features = &#91;]\n        for s in setting:\n            self.features.append(nn.Sequential(\n                nn.AdaptiveAvgPool2d(s),\n                nn.Conv2d(in_dim, reduction_dim, kernel_size=1, bias=False),\n                nn.BatchNorm2d(reduction_dim, momentum=.95),\n                nn.ReLU(inplace=True)\n            ))\n        self.features = nn.ModuleList(self.features)\n\n  # PPM\u524d\u5411\u8ba1\u7b97\u6d41\u7a0b\n    def forward(self, x):\n        x_size = x.size()\n        out = &#91;x]\n        for f in self.features:\n            out.append(F.upsample(f(x), x_size&#91;2:], mode='bilinear'))\n        out = torch.cat(out, 1)\n        return out\n\n  ### \u5b9a\u4e49PSPNet\u7c7b\nclass PSPNet(nn.Module):\n    def __init__(self, num_classes, use_aux=True):\n        super(PSPNet, self).__init__()\n        self.use_aux = use_aux\n    # \u4f7f\u7528ResNet101\u4f5c\u4e3a\u9884\u8bad\u7ec3\u6a21\u578b\n        resnet = models.resnet101()\n        self.layer0 = nn.Sequential(resnet.conv1, resnet.bn1, resnet.relu, resnet.maxpool)\n        self.layer1, self.layer2, self.layer3, self.layer4 = resnet.layer1, resnet.layer2, resnet.layer3, resnet.layer4\n\n        for n, m in self.layer3.named_modules():\n            if 'conv2' in n:\n                m.dilation, m.padding, m.stride = (2, 2), (2, 2), (1,1)\n            elif 'downsample.0' in n:\n                m.stride = (1, 1)\n\n        for n, m in self.layer4.named_modules():\n            if 'conv2' in n:\n                m.dilation, m.padding, m.stride = (4, 4), (4, 4), (1,1)\n            elif 'downsample.0' in n:\n                m.stride = (1, 1)\n    \n        self.ppm = _PyramidPoolingModule(2048, 512, (1, 2, 3, 6))\n        self.final = nn.Sequential(\n            nn.Conv2d(4096, 512, kernel_size=3, padding=1, bias=False),\n            nn.BatchNorm2d(512, momentum=.95),\n            nn.ReLU(inplace=True),\n            nn.Dropout(0.1),\n            nn.Conv2d(512, num_classes, kernel_size=1)\n        )\n    # \u6df1\u76d1\u7763\u8f85\u52a9\u635f\u5931\n        if use_aux:\n            self.aux_logits = nn.Conv2d(1024, num_classes, kernel_size=1)\n            initialize_weights(self.aux_logits)\n        initialize_weights(self.ppm, self.final)\n\n  ### PSPNet\u524d\u5411\u8ba1\u7b97\u6d41\u7a0b\n    def forward(self, x):\n        x_size = x.size()\n        x = self.layer0(x)\n        x = self.layer1(x)\n        x = self.layer2(x)\n        x = self.layer3(x)\n        if self.training and self.use_aux:\n            aux = self.aux_logits(x)\n        x = self.layer4(x)\n        x = self.ppm(x)\n        x = self.final(x)\n        if self.training and self.use_aux:\n            return F.upsample(x, x_size&#91;2:], mode='bilinear'), F.upsample(aux, x_size&#91;2:], mode='bilinear')\n        return F.upsample(x, x_size&#91;2:], mode='bilinear')<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>\u539f\u6587\u5730\u5740\uff1ahttps:\/\/arxiv.org\/pdf\/1612.01105.pdf\u8bba\u6587\u4ee3\u7801\uff1ahttps:\/\/g &hellip; <a href=\"http:\/\/139.9.1.231\/index.php\/2022\/08\/30\/pspnet\/\" class=\"more-link\">\u7ee7\u7eed\u9605\u8bfb<span class=\"screen-reader-text\">PSPNet\uff1aPyramid Attention Networkfor Semantic Segmentation<\/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],"tags":[],"_links":{"self":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/6615"}],"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=6615"}],"version-history":[{"count":13,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/6615\/revisions"}],"predecessor-version":[{"id":7508,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/6615\/revisions\/7508"}],"wp:attachment":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/media?parent=6615"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/categories?post=6615"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/tags?post=6615"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}