{"id":1678,"date":"2023-08-18T13:24:42","date_gmt":"2023-08-18T05:24:42","guid":{"rendered":"https:\/\/usei.cn\/?p=1678"},"modified":"2023-08-18T17:56:44","modified_gmt":"2023-08-18T09:56:44","slug":"%e8%af%ad%e4%b9%89%e5%88%86%e5%89%b2","status":"publish","type":"post","link":"https:\/\/usei.cn\/index.php\/2023\/08\/18\/%e8%af%ad%e4%b9%89%e5%88%86%e5%89%b2\/","title":{"rendered":"\u89c6\u89c9\u4efb\u52a1\u5206\u7c7b"},"content":{"rendered":"\n

1.\u56fe\u50cf\u5206\u7c7b\uff08Object Classification\uff09<\/h2>\n\n\n\n

\u8bc6\u522b\u56fe\u7247\u4e2d\u5b58\u5728\u7684\u4e0d\u540c\u7269\u4f53\u7684\u79cd\u7c7b\uff08\u4e0b\u56fe\uff0c\u4eba\u7c7b\u3001\u7f8a\u7c7b\u3001\u72d7\u7c7b\uff09<\/p>\n\n\n\n

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

2.\u5206\u7c7b+\u5b9a\u4f4d\uff08Localization and Dection\uff09<\/h2>\n\n\n\n

\u5206\u7c7b+\u5b9a\u4f4d\u7684\u4efb\u52a1\u8981\u6c42\u6211\u4eec\u5728\u7ed9\u56fe\u7247\u6253\u6807\u7b7e\u4e4b\u540e\uff0c\u8fd8\u8981\u6846\u51fa\u7269\u4f53\u5728\u4ec0\u4e48\u5730\u65b9\uff08\u6ce8\u610f\u4e0e\u7269\u4f53\u68c0\u6d4b\u7684\u533a\u522b\uff0c\u5728\u5206\u7c7b\u5b9a\u4f4d\u4e2d\uff0c\u8f93\u51fa\u7684\u6846\u7684\u4e2a\u6570\u662f\u4e8b\u5148\u5df2\u77e5\u7684\uff0c\u800c\u7269\u4f53\u68c0\u6d4b\u4e2d\u5219\u662f\u4e0d\u786e\u5b9a\u7684\uff09\u3002\u5982\u4e0b\uff1a<\/p>\n\n\n\n

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

\u5e38\u7528\u6846\u67b6<\/h3>\n\n\n\n
\"\"<\/div><\/a><\/figure>\n\n\n\n

\u9996\u5148\u6211\u4eec\u8fd8\u662f\u7528CNN\u5f97\u5230\u63cf\u8ff0\u56fe\u7247\u7684\u7279\u5f81\u5411\u91cf\uff0c\u7136\u540e\u6211\u4eec\u63a5\u5165\u4e24\u4e2a\u5168\u8fde\u63a5\u7f51\u7edc\uff0c\u4e00\u4e2a\u7f51\u7edc\u8d1f\u8d23\u751f\u6210\u6700\u540e\u7684\u7c7b\u522b\u8bc4\u5206\uff0c\u53e6\u4e00\u4e2a\u8d1f\u8d23\u751f\u6210\u7ea2\u6846\u56db\u4e2a\u70b9\u7684\u5750\u6807\u503c\u3002\u56e0\u6b64\u5bf9\u5e94\u4e24\u4e2a\u635f\u5931\uff0csoftmax\u635f\u5931\u548c\u56de\u5f52\u635f\u5931\u3002\u6211\u4eec\u5c06\u8fd9\u4e24\u4e2a\u635f\u5931\u52a0\u6743\u76f8\u52a0\u5f97\u5230\u603b\u7684\u635f\u5931\uff08\u52a0\u6743\u503c\u662f\u8d85\u53c2\u6570\uff09\uff0c\u7136\u540e\u8fdb\u884c\u53cd\u5411\u4f20\u64ad\u5b66\u4e60\u3002<\/p>\n\n\n\n

\u8fd9\u91cc\u5e94\u7528\u56de\u5f52\u7684\u601d\u8def\u540c\u6837\u53ef\u4ee5\u5e94\u7528\u4e8e\u59ff\u6001\u4f30\u8ba1\uff0c\u6211\u4eec\u7528\u5341\u56db\u4e2a\u70b9\u6765\u786e\u5b9a\u4e00\u4e2a\u4eba\u7684\u59ff\u6001\u60c5\u51b5\uff1a<\/p>\n\n\n\n

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

\u5e94\u7528\u540c\u6837\u7684\u6846\u67b6\uff08CNN+\u56de\u5f52\u5168\u8fde\u63a5\u7f51\u7edc\uff09\u53ef\u4ee5\u8bad\u7ec3\u8fd9\u4e2a\u4efb\u52a1\uff1a<\/p>\n\n\n\n

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

3.\u76ee\u6807\u68c0\u6d4b\uff08Object Detection\uff09<\/h2>\n\n\n\n
\"\"<\/div><\/a><\/figure>\n\n\n\n

\u4e0e\u5206\u7c7b+\u5b9a\u4f4d\u4efb\u52a1\u4e0d\u540c\u7684\u662f\uff0c\u7269\u4f53\u68c0\u6d4b\u4e2d\u9700\u8981\u68c0\u6d4b\u7684\u7269\u4f53\u6570\u91cf\u662f\u4e0d\u786e\u5b9a\u7684\uff0c\u56e0\u6b64\u65e0\u6cd5\u76f4\u63a5\u4f7f\u7528\u4e0a\u9762\u7684\u56de\u5f52\u6846\u67b6\u3002\u9700\u8981\u8bc6\u522b\u56fe\u7247\u4e2d\u7684\u7269\u4f53\u53ca\u5176\u4f4d\u7f6e\uff0c\u628a\u5b83\u4eec\u7528\u77e9\u5f62\u6846\u6846\u8d77\u6765\u3002\u4e0b\u9762\u7b80\u5355\u4ecb\u7ecd\u51e0\u4e2a\u6846\u67b6\u3002<\/p>\n\n\n\n

\u5e38\u7528\u7b97\u6cd5<\/h3>\n\n\n\n

R-CNN<\/strong>\uff08\u901f\u5ea6\u6162\uff0c\u8fc7\u7a0b\u7e41\u7410\uff0c\u8bad\u7ec3\u6240\u9700\u7a7a\u95f4\u5927\uff09<\/p>\n\n\n\n

Faster R-CNN<\/strong>\uff08\u6bd4\u524d\u8005\u66f4\u51c6\u786e\u3001\u5feb\u901f\u3001\u7b80\u4fbf\uff0c\u4f46\u8fd8\u662f\u4e0d\u591f\u5feb\uff0c\u4e0d\u591f\u7b80\u6d01\uff09<\/p>\n\n\n\n

YOLO<\/strong>\u7684\u76ee\u6807\u68c0\u6d4b\u7684\u7b97\u6cd5\uff08\u901f\u5ea6\u5feb\uff0c\u6cdb\u5316\u80fd\u529b\u5f3a\uff0c\u4f46\u7cbe\u5ea6\u4f4e\uff0c\u5c0f\u76ee\u6807\u548c\u90bb\u8fd1\u76ee\u6807\u68c0\u6d4b\u6548\u679c\u5dee\uff0c\u6bd4Fast R-CNN\u5b9a\u4f4d\u8bef\u5dee\u5927\u4e00\u4e9b\uff09<\/p>\n\n\n\n

4.\u8bed\u4e49\u5206\u5272\uff08Semantic Segmentation\uff09<\/h2>\n\n\n\n

\u8bed\u4e49\u5206\u5272\u7684\u4efb\u52a1\u662f\u5bf9\u8f93\u5165\u7684\u56fe\u50cf\u8fdb\u884c\u9010\u50cf\u7d20\u7684\u5206\u7c7b\uff0c\u6807\u8bb0\u51fa\u50cf\u7d20\u7ea7\u522b\u7684\u7269\u4f53\u3002\u540c\u4e00\u7269\u4f53\u7684\u4e0d\u540c\u5b9e\u4f8b\u4e0d\u9700\u8981\u5355\u72ec\u5206\u5272\u51fa\u6765\u3002<\/p>\n\n\n\n

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

\u5377\u79ef<\/h3>\n\n\n\n
\"\"<\/div><\/a><\/figure>\n\n\n\n

\u7ecf\u8fc7\u591a\u4e2a\u5377\u79ef\u5c42\u5904\u7406\uff0c\u6700\u7ec8\u8f93\u51fa\u4f53\u7684\u7ef4\u5ea6\u662fC*H*W\uff0cC\u8868\u793a\u7c7b\u522b\u4e2a\u6570\uff0c\u8868\u793a\u6bcf\u4e2a\u50cf\u7d20\u5728\u4e0d\u540c\u7c7b\u522b\u4e0a\u7684\u5f97\u5206\u3002\u6700\u7ec8\u53d6\u6700\u5927\u5f97\u5206\u4e3a\u9884\u6d4b\u7c7b\u522b\u3002<\/p>\n\n\n\n

\u8bad\u7ec3\u8fd9\u6837\u4e00\u4e2a\u6a21\u578b\uff0c\u6211\u4eec\u9700\u8981\u5bf9\u6bcf\u4e2a\u50cf\u7d20\u90fd\u5206\u597d\u7c7b\u7684\u8bad\u7ec3\u96c6\uff08\u901a\u5e38\u6bd4\u8f83\u6602\u8d35\uff09\u3002\u7136\u540e\u524d\u5411\u4f20\u64ad\u51fa\u4e00\u5f20\u56fe\u7684\u5f97\u5206\u4f53\uff08C*H*W\uff09\uff0c\u4e0e\u8bad\u7ec3\u96c6\u7684\u6807\u7b7e\u4f53\u6c42\u4ea4\u53c9\u71b5\uff0c\u5f97\u5230\u635f\u5931\u51fd\u6570\uff0c\u7136\u540e\u53cd\u5411\u4f20\u64ad\u5b66\u4e60\u53c2\u6570\u3002<\/p>\n\n\n\n

\u7136\u800c\uff0c\u8fd9\u6837\u4e00\u4e2a\u6a21\u578b\u7684\u4e2d\u95f4\u5c42\u5b8c\u5168\u4fdd\u7559\u4e86\u56fe\u50cf\u7684\u5927\u5c0f\uff0c\u975e\u5e38\u5360\u5185\u5b58\uff0c\u56e0\u6b64\u6709\u4e0b\u9762\u6539\u8fdb\u7684\u6846\u67b6\u3002<\/p>\n\n\n\n

\u6b20\u91c7\u6837\u518d\u8fc7\u91c7\u6837<\/h3>\n\n\n\n
\"\"<\/div><\/a><\/figure>\n\n\n\n

\u7ecf\u8fc7\u6b20\u91c7\u6837\u540e\u53ef\u4ee5\u5927\u91cf\u8282\u7701\u5185\u5b58\uff0c\u63d0\u9ad8\u6548\u7387\uff0c\u6700\u540e\u518d\u7ecf\u8fc7\u8fc7\u91c7\u6837\u6765\u6062\u590d\u539f\u59cb\u56fe\u7247\u7684\u5927\u5c0f\u3002\u6211\u4eec\u77e5\u9053\u6b20\u91c7\u6837\u53ef\u4ee5\u4f7f\u7528\u5377\u79ef\u5c42\u548c\u6c60\u5316\uff0c\u4e0b\u9762\u4ecb\u7ecd\u8fc7\u91c7\u6837\u7684\u51e0\u79cd\u65b9\u5f0f\u3002<\/p>\n\n\n\n

5.\u5b9e\u4f8b\u5206\u5272\uff08Instance Segmentation\uff09<\/h2>\n\n\n\n

\u5176\u5b9e\u5c31\u662f\u76ee\u6807\u68c0\u6d4b<\/strong>\u548c\u8bed\u4e49\u5206\u5272<\/strong>\u7684\u7ed3\u5408\u3002\u76f8\u5bf9\u76ee\u6807\u68c0\u6d4b\u7684\u8fb9\u754c\u6846\uff0c\u5b9e\u4f8b\u5206\u5272\u53ef\u7cbe\u786e\u5230\u7269\u4f53\u7684\u8fb9\u7f18\uff1b\u76f8\u5bf9\u8bed\u4e49\u5206\u5272\uff0c\u5b9e\u4f8b\u5206\u5272\u9700\u8981\u6807\u6ce8\u51fa\u56fe\u4e0a\u540c\u4e00\u7269\u4f53\u7684\u4e0d\u540c\u4e2a\u4f53\uff08\u7f8a1\uff0c\u7f8a2\uff0c\u7f8a3\uff09\uff08\u548c\u8bed\u4e49\u5206\u5272\u76f8\u4f3c\uff0c\u4e0d\u8fc7\u76f8\u540c\u7684\u7c7b\u4e2d\u7528\u4e0d\u540c\u7684\u989c\u8272\u533a\u5206\u6210\u7f8a12345\uff09<\/p>\n\n\n\n

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

Mask RCNN\u662f\u5f53\u524d\u5f88\u524d\u6cbf\u7684\u4e00\u79cd\u65b9\u6cd5\uff0c\u5176\u5c06faster RCNN\u548c\u8bed\u4e49\u5206\u5272\u7ed3\u5408\u6210\u4e00\u4e2a\u6846\u67b6\uff0c\u5177\u6709\u975e\u5e38\u597d\u7684\u6548\u679c\uff01\u7269\u4f53\u5206\u5272\u8981\u505a\u7684\u662f\u5728\u7269\u4f53\u68c0\u6d4b\u4e0a\u66f4\u8fdb\u4e00\u6b65\uff0c\u4ece\u50cf\u7d20\u5c42\u9762\u628a\u5404\u4e2a\u7269\u4f53\u5206\u5272\u51fa\u6765\u3002<\/p>\n\n\n\n

\u5e38\u7528\u7b97\u6cd5<\/h3>\n\n\n\n

\u662fMask R-CNN\u3001Fast-CNN\u3001DeepMask<\/p>\n\n\n\n

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

\u5982\u4e0a\u56fe\uff0c\u9996\u5148\u5c06\u56fe\u50cf\u4f7f\u7528CNN\u5904\u7406\u4e3a\u7279\u5f81\uff0c\u7136\u540e\u7ecf\u8fc7\u4e00\u4e2aRPN\u7f51\u7edc\u751f\u6210\u5019\u9009\u533a\u57df\uff0c\u6295\u5c04\u5230\u4e4b\u524d\u7684feature map\u3002\u5230\u8fd9\u91cc\u4e0efaster RCNN\u4e00\u6837\u3002\u4e4b\u540e\u6709\u4e24\u4e2a\u5206\u652f\uff0c\u4e00\u4e2a\u5206\u652f\u4e0efaster RCNN\u76f8\u540c\uff0c\u9884\u6d4b\u5019\u9009\u6846\u7684\u5206\u7c7b\u548c\u8fb9\u754c\u503c\uff0c\u53e6\u4e00\u4e2a\u5206\u652f\u5219\u4e0e\u8bed\u4e49\u5206\u5272\u76f8\u4f3c\uff0c\u4e3a\u6bcf\u4e2a\u50cf\u7d20\u505a\u5206\u7c7b\u3002<\/p>\n\n\n\n

mask RCNN\u5177\u6709\u8d85\u7ea7\u597d\u7684\u6548\u679c\uff0c\u6709\u673a\u4f1a\u4e00\u5b9a\u8981\u62dc\u8bfb\u4e00\u4e0b\u3002<\/p>\n\n\n\n

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

\u5168\u666f\u5206\u5272<\/h2>\n","protected":false},"excerpt":{"rendered":"

1.\u56fe\u50cf\u5206\u7c7b\uff08Object Classification\uff09 \u8bc6\u522b\u56fe\u7247\u4e2d\u5b58\u5728\u7684\u4e0d\u540c\u7269\u4f53\u7684\u79cd\u7c7b\uff08\u4e0b\u56fe\uff0c\u4eba\u7c7b\u3001\u7f8a\u7c7b\u3001 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-1678","post","type-post","status-publish","format-standard","hentry","category-ai"],"_links":{"self":[{"href":"https:\/\/usei.cn\/index.php\/wp-json\/wp\/v2\/posts\/1678","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/usei.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/usei.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/usei.cn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/usei.cn\/index.php\/wp-json\/wp\/v2\/comments?post=1678"}],"version-history":[{"count":47,"href":"https:\/\/usei.cn\/index.php\/wp-json\/wp\/v2\/posts\/1678\/revisions"}],"predecessor-version":[{"id":1764,"href":"https:\/\/usei.cn\/index.php\/wp-json\/wp\/v2\/posts\/1678\/revisions\/1764"}],"wp:attachment":[{"href":"https:\/\/usei.cn\/index.php\/wp-json\/wp\/v2\/media?parent=1678"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/usei.cn\/index.php\/wp-json\/wp\/v2\/categories?post=1678"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/usei.cn\/index.php\/wp-json\/wp\/v2\/tags?post=1678"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}