{"id":3837,"date":"2025-11-11T08:56:11","date_gmt":"2025-11-11T00:56:11","guid":{"rendered":"https:\/\/www.leexinghai.com\/aic\/?p=3837"},"modified":"2025-11-24T18:39:41","modified_gmt":"2025-11-24T10:39:41","slug":"%e8%ae%ba%e6%96%87%e8%af%84%e8%bf%b0-%e6%96%87%e7%8c%aefrt-fs-en-2510283","status":"publish","type":"post","link":"https:\/\/www.leexinghai.com\/aic\/%e8%ae%ba%e6%96%87%e8%af%84%e8%bf%b0-%e6%96%87%e7%8c%aefrt-fs-en-2510283\/","title":{"rendered":"\u8bba\u6587\u8bc4\u8ff0-\u6587\u732eFRT-FS-EN-2510283"},"content":{"rendered":"\n<p>\u672c\u671f\u8bc4\u8ff0\u6587\u7ae0\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"SjJxxgjtnT\"><a href=\"https:\/\/www.leexinghai.com\/aic\/frt-fs-en-2510283\/\">[\u6587\u732eFRT-FS-EN-2510283]Few-shot disease recognition algorithm based on supervised contrastive learning<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"\u300a [\u6587\u732eFRT-FS-EN-2510283]Few-shot disease recognition algorithm based on supervised contrastive learning \u300b\u2014\u5b66\u672f\u521b\u65b0\u4e2d\u5fc3\" src=\"https:\/\/www.leexinghai.com\/aic\/frt-fs-en-2510283\/embed\/#?secret=SssIC9B84q#?secret=SjJxxgjtnT\" data-secret=\"SjJxxgjtnT\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n<p>\u5b83\u9488\u5bf9\u4e00\u4e2a\u5f88\u5b9e\u9645\u7684\u519c\u4e1a\u751f\u4ea7\u95ee\u9898\u2014\u2014\u5982\u4f55\u7528\u5c11\u91cf\u6837\u672c\u51c6\u786e\u8bc6\u522b\u690d\u7269\u75c5\u5bb3\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u7b97\u6cd5\u3002<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Plant disease recognition based on computer vision can help farmers quickly and accurately recognize diseases. However, the occurrence of diseases is random and the collection cost is very high. In many cases, the number of disease samples that can be used to train the disease classifier is small.<\/p>\n\n\n\n<p>Trans:\u57fa\u4e8e\u8ba1\u7b97\u673a\u89c6\u89c9\u7684\u690d\u7269\u75c5\u5bb3\u8bc6\u522b\u6280\u672f\u80fd\u5e2e\u52a9\u519c\u6c11\u5feb\u901f\u51c6\u786e\u5730\u8bc6\u522b\u75c5\u5bb3\u3002\u7136\u800c\uff0c\u75c5\u5bb3\u53d1\u751f\u5177\u6709\u968f\u673a\u6027\uff0c\u4e14\u91c7\u96c6\u6210\u672c\u8f83\u9ad8\u3002\u5728\u591a\u6570\u60c5\u51b5\u4e0b\uff0c\u53ef\u7528\u4e8e\u8bad\u7ec3\u75c5\u5bb3\u5206\u7c7b\u5668\u7684\u6837\u672c\u6570\u91cf\u6709\u9650\u3002<\/p>\n<\/blockquote>\n\n\n\n<p>\u6839\u636e\u8bba\u6587\u6458\u8981\uff08\u7b2c1\u9875\uff09\uff0c\u4f5c\u8005\u6307\u51fa\uff0c\u867d\u7136\u8ba1\u7b97\u673a\u89c6\u89c9\u5bf9\u8bc6\u522b\u690d\u7269\u75c5\u5bb3\u5f88\u6709\u5e2e\u52a9\uff0c\u4f46\u6536\u96c6\u5927\u91cf\u6807\u8bb0\u597d\u7684\u75c5\u5bb3\u56fe\u7247\u6837\u672c\u65e2\u56f0\u96be\u53c8\u6602\u8d35\u3002 <sup><\/sup>\u8fd9\u5bf9\u9700\u8981\u6d77\u91cf\u6570\u636e\u7684\u4f20\u7edf\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u6765\u8bf4\u662f\u4e2a\u5927\u6311\u6218\u3002 <sup><\/sup><\/p>\n\n\n\n<p>\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0c\u4ed6\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u5206\u4e3a\u4e24\u4e2a\u9636\u6bb5\u7684\u7b97\u6cd5 <sup><\/sup>\uff1a<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Our algorithm is divided into two phases: supervised contrastive learning and meta-learning. In the first phase, we use a <strong>supervised contrastive learning algorithm<\/strong> to train an encoder with strong generalization capabilities using a large number of samples. In the second phase, we treat this encoder as an <strong>extractor of plant disease features<\/strong> and adopt the meta-learning training mechanism to accomplish the few-shot disease recognition tasks by training a nearest-centroid classifier based on distance metrics.<\/p>\n\n\n\n<p>Trans:\u6211\u4eec\u7684\u7b97\u6cd5\u5206\u4e3a\u4e24\u4e2a\u9636\u6bb5\uff1a\u76d1\u7763\u5bf9\u6bd4\u5b66\u4e60\u548c\u5143\u5b66\u4e60\u3002\u5728\u7b2c\u4e00\u9636\u6bb5\uff0c\u6211\u4eec\u91c7\u7528\u76d1\u7763\u5bf9\u6bd4\u5b66\u4e60\u7b97\u6cd5\uff0c\u901a\u8fc7\u5927\u91cf\u6837\u672c\u8bad\u7ec3\u5177\u6709\u5f3a\u6cdb\u5316\u80fd\u529b\u7684\u7f16\u7801\u5668\u3002\u7b2c\u4e8c\u9636\u6bb5\uff0c\u6211\u4eec\u5c06\u8be5\u7f16\u7801\u5668\u4f5c\u4e3a\u690d\u7269\u75c5\u5bb3\u7279\u5f81\u63d0\u53d6\u5668\uff0c\u901a\u8fc7\u57fa\u4e8e\u8ddd\u79bb\u5ea6\u91cf\u7684\u6700\u8fd1\u8d28\u5fc3\u5206\u7c7b\u5668\u8bad\u7ec3\u673a\u5236\uff0c\u8fd0\u7528\u5143\u5b66\u4e60\u8bad\u7ec3\u65b9\u6cd5\u5b8c\u6210<\/p>\n<\/blockquote>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>\u7b2c\u4e00\u9636\u6bb5<\/strong>\uff1a\u4f7f\u7528\u201c\u76d1\u7763\u5bf9\u6bd4\u5b66\u4e60\u201d (Supervised Contrastive Learning) \u548c\u5927\u91cf\u6837\u672c\u6765\u8bad\u7ec3\u4e00\u4e2a\u5177\u6709\u5f3a\u5927\u6cdb\u5316\u80fd\u529b\u7684\u7f16\u7801\u5668\uff08encoder\uff09\u3002 <\/li>\n\n\n\n<li><strong>\u7b2c\u4e8c\u9636\u6bb5<\/strong>\uff1a\u5c06\u8fd9\u4e2a\u7f16\u7801\u5668\u4f5c\u4e3a\u7279\u5f81\u63d0\u53d6\u5668\uff0c\u5e76\u91c7\u7528\u201c\u5143\u5b66\u4e60\u201d (Meta-learning) \u673a\u5236\uff0c\u901a\u8fc7\u8bad\u7ec3\u4e00\u4e2a\u6700\u8fd1\u8d28\u5fc3\u5206\u7c7b\u5668\u6765\u5b8c\u6210\u201c\u5c0f\u6837\u672c\u201d (few-shot) \u7684\u8bc6\u522b\u4efb\u52a1\u3002 <\/li>\n<\/ol>\n\n\n\n<p>\u8fd9\u91cc\u6709\u51e0\u4e2a\u5207\u5165\u70b9\uff1a<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>\u5f04\u6e05\u5173\u952e\u201c\u672f\u8bed\u201d<\/strong>\uff1a\u8fd9\u7bc7\u8bba\u6587\u7684\u6807\u9898\u548c\u6458\u8981\u4e2d\u63d0\u5230\u4e86\u597d\u51e0\u4e2a\u5173\u952e\u6982\u5ff5\uff0c\u6bd4\u5982\u201c\u76d1\u7763\u5bf9\u6bd4\u5b66\u4e60\u201d \u548c\u201c\u5143\u5b66\u4e60\u201d \u3002<\/li>\n\n\n\n<li><strong>\u6df1\u5165\u7406\u89e3\u201c\u95ee\u9898\u201d<\/strong>\uff1a\u8bba\u6587\u5728\u5f15\u8a00\uff08Introduction\uff09\u90e8\u5206\u8be6\u7ec6\u8ba8\u8bba\u4e86\u4e3a\u4ec0\u4e48\u4f20\u7edf\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u4e0d\u9002\u7528\u4e8e\u8fd9\u4e2a\u95ee\u9898\u3002\u6211\u4eec\u4e3a\u4ec0\u4e48\u4e0d\u5148\u4ece\u8fd9\u91cc\u5f00\u59cb\uff0c\u641e\u6e05\u695a\u201c\u5c0f\u6837\u672c\u5b66\u4e60\u201d (Few-shot Learning) \u7a76\u7adf\u8981\u89e3\u51b3\u4ec0\u4e48\uff1f <\/li>\n\n\n\n<li><strong>\u62c6\u89e3\u201c\u89e3\u51b3\u65b9\u6848\u201d<\/strong>\uff1a\u8bba\u6587\u7684\u6838\u5fc3\u662f\u4ed6\u4eec\u63d0\u51fa\u7684\u4e24\u9636\u6bb5\u65b9\u6cd5 \u3002\u6211\u4eec\u53ef\u4ee5\u76f4\u63a5\u53bb\u770b\u56fe1\uff08\u7b2c4\u9875\uff09\uff0c\u5b83\u6e05\u6670\u5730\u5c55\u793a\u4e86\u201c\u76d1\u7763\u5bf9\u6bd4\u9884\u8bad\u7ec3\u201d\u548c\u201c\u6700\u8fd1\u8d28\u5fc3\u5206\u7c7b\u201d\u8fd9\u4e24\u4e2a\u9636\u6bb5\u662f\u5982\u4f55\u534f\u540c\u5de5\u4f5c\u7684\u3002<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\"\/>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\">1.\u5f04\u6e05\u5173\u952e\u201c\u672f\u8bed\u201d<\/h2>\n\n\n\n<p>\u6211\u4eec\u6765\u9010\u4e2a\u5206\u89e3\u8fd9\u4e24\u4e2a\u6838\u5fc3\u672f\u8bed\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. \u76d1\u7763\u5bf9\u6bd4\u5b66\u4e60 (Supervised Contrastive Learning)<\/h3>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Contrastive learning is usually a self-supervised learning method,which pre-trains a model with a large amount of unlabeled data tolearn feature representation.<\/p>\n\n\n\n<p>Trans:\u5bf9\u6bd4\u5b66\u4e60\u901a\u5e38\u662f\u4e00\u79cd\u81ea\u76d1\u7763\u5b66\u4e60\u65b9\u6cd5\uff0c\u8be5\u65b9\u6cd5\u901a\u8fc7\u5927\u91cf\u672a\u6807\u6ce8\u6570\u636e\u5bf9\u6a21\u578b\u8fdb\u884c\u9884\u8bad\u7ec3\uff0c\u4f7f\u5176\u5b66\u4e60\u7279\u5f81\u8868\u793a\u3002<\/p>\n<\/blockquote>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u8fd9\u662f\u4ec0\u4e48\uff1f<\/strong> \u5b83\u662f\u4e00\u79cd\u201c\u9884\u8bad\u7ec3\u201d (pre-training) \u65b9\u6cd5\uff0c\u76ee\u6807\u662f\u8bad\u7ec3\u51fa\u4e00\u4e2a\u80fd\u51fa\u8272\u533a\u5206\u4e0d\u540c\u7c7b\u522b\u56fe\u50cf\u7684\u201c\u7f16\u7801\u5668\u201d (Encoder)\u3002<\/li>\n\n\n\n<li><\/li>\n\n\n\n<li><strong>\u5b83\u5982\u4f55\u5de5\u4f5c\uff1f<\/strong><ul><li>\u201c<strong>\u5bf9\u6bd4<\/strong>\u201d (Contrastive) \u7684\u610f\u601d\u662f\uff0c\u5b83\u901a\u8fc7\u201c\u5bf9\u6bd4\u201d\u6837\u672c\u6765\u5b66\u4e60\u3002\u5b83\u4f1a\u62c9\u8fd1\u201c\u76f8\u4f3c\u201d\u7684\u6837\u672c\uff0c\u63a8\u8fdc\u201c\u4e0d\u76f8\u4f3c\u201d\u7684\u6837\u672c\u3002<\/li><li>\u201c<strong>\u76d1\u7763<\/strong>\u201d (Supervised) \u7684\u610f\u601d\u662f\uff0c\u5b83\u4f1a\u5229\u7528\u56fe\u50cf\u7684\u201c\u6807\u7b7e\u201d (label) \u4fe1\u606f\uff08\u6bd4\u5982\uff0c\u77e5\u9053\u54ea\u4e9b\u56fe\u7247\u662f\u201c\u82f9\u679c\u9ed1\u661f\u75c5\u201d\uff0c\u54ea\u4e9b\u662f\u201c\u7389\u7c73\u7070\u6591\u75c5\u201d\uff09\u3002<\/li><\/ul>\u5728\u8bad\u7ec3\u65f6\uff0c\u5b83\u4f1a\u544a\u8bc9\u6a21\u578b\uff1a<ol start=\"1\"><li><strong>\u62c9\u8fd1\u6b63\u6837\u672c<\/strong>\uff1a\u6240\u6709\u201c\u540c\u7c7b\u201d\u7684\u56fe\u50cf\uff08\u6bd4\u5982\uff0c\u6240\u6709\u201c\u82f9\u679c\u9ed1\u661f\u75c5\u201d\u7684\u56fe\u7247\uff09\u90fd\u5e94\u8be5\u5728\u7279\u5f81\u7a7a\u95f4\u4e2d<em>\u9760\u5f97\u66f4\u8fd1<\/em>\u3002<\/li><li><strong>\u63a8\u8fdc\u8d1f\u6837\u672c<\/strong>\uff1a\u6240\u6709\u201c\u4e0d\u540c\u7c7b\u201d\u7684\u56fe\u50cf\uff08\u6bd4\u5982\uff0c\u201c\u82f9\u679c\u9ed1\u661f\u75c5\u201d\u548c\u201c\u7389\u7c73\u7070\u6591\u75c5\u201d\u7684\u56fe\u7247\uff09\u90fd\u5e94\u8be5\u5728\u7279\u5f81\u7a7a\u95f4\u4e2d<em>\u79bb\u5f97\u66f4\u8fdc<\/em>\u3002<\/li><\/ol>\u8bba\u6587\u5728<strong>\u56fe 2\uff08\u7b2c6\u9875\uff09<\/strong> \u4e2d\u5f88\u6e05\u6670\u5730\u5c55\u793a\u4e86\u8fd9\u4e00\u70b9\u3002\u5728\u53f3\u4fa7\u7684\u201c\u76d1\u7763\u5bf9\u6bd4\u5b66\u4e60\u201d\u793a\u610f\u56fe\u4e2d\uff0c\u4e24\u5f20\u4e0d\u540c\u7684\u201cApple scab\u201d\uff08\u82f9\u679c\u9ed1\u661f\u75c5\uff09\u56fe\u7247\u88ab\u89c6\u4e3a\u201c\u6b63\u6837\u672c\u201d (Positive) \u5e76\u88ab\u62c9\u8fd1\uff0c\u800c\u5176\u4ed6\u75c5\u5bb3\uff08\u5982\u7389\u7c73\u53f6\u6591\u75c5\u3001\u6843\u7ec6\u83cc\u6027\u6591\u70b9\u75c5\uff09\u5219\u88ab\u89c6\u4e3a\u201c\u8d1f\u6837\u672c\u201d (Negatives) \u5e76\u88ab\u63a8\u8fdc\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2. \u5143\u5b66\u4e60 (Meta-learning)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u8fd9\u662f\u4ec0\u4e48\uff1f<\/strong> \u8fd9\u662f\u4e00\u4e2a\u66f4\u5e7f\u6cdb\u7684\u6982\u5ff5\uff0c\u5e38\u88ab\u7528\u4e8e\u5c0f\u6837\u672c\u5b66\u4e60 (FSL)\u3002\u5b83\u7684\u6838\u5fc3\u601d\u60f3\u662f\u201c<strong>\u5b66\u4f1a\u5982\u4f55\u5b66\u4e60<\/strong>\u201d (learning to learn)\u3002<\/li>\n\n\n\n<li><strong>\u5b83\u5982\u4f55\u5de5\u4f5c\uff1f<\/strong>\n<ul class=\"wp-block-list\">\n<li>\u4f20\u7edf\u673a\u5668\u5b66\u4e60\u662f\u201c\u5b66\u4f1a\u4e00\u4e2a\u4efb\u52a1\u201d\uff08\u6bd4\u5982\uff0c\u5206\u7c7b\u732b\u548c\u72d7\uff09\u3002<\/li>\n\n\n\n<li>\u5143\u5b66\u4e60\u662f\u201c\u5b66\u4f1a<em>\u5feb\u901f\u638c\u63e1<\/em>\u65b0\u4efb\u52a1\u201d\u3002\u5b83\u4f1a\u901a\u8fc7\u5927\u91cf<em>\u4e0d\u540c\u7684<\/em>\u5148\u9a8c\u4efb\u52a1\u8fdb\u884c\u8bad\u7ec3\uff0c\u76ee\u6807\u662f\u627e\u5230\u4e00\u4e2a\u597d\u7684\u6a21\u578b\u201c\u521d\u59cb\u72b6\u6001\u201d\u3002<\/li>\n\n\n\n<li>\u5f53\u6a21\u578b\u9047\u5230\u4e00\u4e2a\u5168\u65b0\u7684\u3001\u53ea\u6709\u5f88\u5c11\u6837\u672c\u7684\u4efb\u52a1\u65f6\uff08\u6bd4\u5982\uff0c\u8bc6\u522b\u4e00\u79cd\u4ece\u672a\u89c1\u8fc7\u7684\u690d\u7269\u75c5\u5bb3\uff09\uff0c\u5b83\u80fd\u4ece\u8fd9\u4e2a\u201c\u521d\u59cb\u72b6\u6001\u201d\u51fa\u53d1\uff0c\u4ec5\u7528\u51e0\u5f20\u56fe\u7247\u5c31\u5feb\u901f\u5b66\u4f1a\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p>\u5728\u8fd9\u7bc7\u8bba\u6587\u4e2d\uff0c\u4f5c\u8005\u5c06\u4e24\u8005\u5de7\u5999\u5730\u7ed3\u5408\u4e86\u8d77\u6765\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u4ed6\u4eec\u7528<strong>\u76d1\u7763\u5bf9\u6bd4\u5b66\u4e60<\/strong>\uff08\u7b2c1\u9636\u6bb5\uff09\u6765\u5b8c\u6210\u201c\u5143\u5b66\u4e60\u201d\u4e2d\u7684\u201c\u9884\u8bad\u7ec3\u201d\u8fc7\u7a0b\uff0c\u76ee\u7684\u662f\u5b66\u5230\u4e00\u4e2a\u6cdb\u5316\u80fd\u529b\u6781\u5f3a\u7684\u7f16\u7801\u5668\uff08\u7279\u5f81\u63d0\u53d6\u5668\uff09\u3002<\/li>\n\n\n\n<li>\u7136\u540e\uff0c\u4ed6\u4eec\u5728\u8fd9\u4e2a\u7f16\u7801\u5668\u7684\u57fa\u7840\u4e0a\uff0c\u7528\u4e00\u4e2a<strong>\u6700\u8fd1\u8d28\u5fc3\u5206\u7c7b\u5668<\/strong>\uff08\u7b2c2\u9636\u6bb5\uff09\u6765\u6267\u884c\u5177\u4f53\u7684\u5c0f\u6837\u672c\u8bc6\u522b\u4efb\u52a1\uff0c\u8fd9\u4f53\u73b0\u4e86\u5143\u5b66\u4e60\u201c\u5feb\u901f\u9002\u5e94\u65b0\u4efb\u52a1\u201d\u7684\u673a\u5236\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u73b0\u5728\u6211\u4eec\u5f04\u6e05\u4e86\u8fd9\u4e24\u4e2a\u5173\u952e\u6982\u5ff5\uff0c\u4f60\u5e0c\u671b\u63a5\u4e0b\u6765\u505a\u4ec0\u4e48\uff1f<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>\u6df1\u5165\u4e86\u89e3\u7b2c\u4e00\u9636\u6bb5<\/strong>\uff1a\u770b\u770b\u201c\u76d1\u7763\u5bf9\u6bd4\u5b66\u4e60\u201d\u7684\u5177\u4f53\u7b97\u6cd5\u6d41\u7a0b\u662f\u4ec0\u4e48\u6837\u7684\uff1f\uff08\u53c2\u8003\u56fe1\u4e0a\u534a\u90e8\u5206\u548c\u7b97\u6cd51\uff09<\/li>\n\n\n\n<li><strong>\u6df1\u5165\u4e86\u89e3\u7b2c\u4e8c\u9636\u6bb5<\/strong>\uff1a\u770b\u770b\u201c\u6700\u8fd1\u8d28\u5fc3\u5206\u7c7b\u5668\u201d\u662f\u5982\u4f55\u5229\u7528\u7b2c\u4e00\u9636\u6bb5\u7684\u6210\u679c\u8fdb\u884c\u5c0f\u6837\u672c\u5206\u7c7b\u7684\uff1f\uff08\u53c2\u8003\u56fe1\u4e0b\u534a\u90e8\u5206\u548c\u56fe3\uff09<\/li>\n\n\n\n<li><strong>\u56de\u5230\u201c\u95ee\u9898\u201d\u672c\u8eab<\/strong>\uff1a\u6211\u4eec\u5df2\u7ecf\u77e5\u9053\u4e86\u672f\u8bed\uff0c\u90a3\u56de\u5934\u770b\u770b\u5f15\u8a00\uff08Introduction\uff09\u90e8\u5206\uff0c\u66f4\u6df1\u5165\u5730\u4e86\u89e3\u4e00\u4e0b\u4e3a\u4ec0\u4e48\u201c\u5c0f\u6837\u672c\u5b66\u4e60\u201d (FSL) \u5728\u690d\u7269\u75c5\u5bb3\u9886\u57df\u5982\u6b64\u91cd\u8981\uff1f<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\">2.\u6df1\u5165\u4e86\u89e3 \u7b2c\u4e00\u9636\u6bb5<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">2.1<strong>\u76d1\u7763\u5bf9\u6bd4\u9884\u8bad\u7ec3 (Supervised Contrastive Pre-training)<\/strong>\u3002<\/h3>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"644\" height=\"338\" src=\"https:\/\/www.leexinghai.com\/aic\/wp-content\/uploads\/2025\/11\/image-5.png\" alt=\"\" class=\"wp-image-3840\" srcset=\"https:\/\/www.leexinghai.com\/aic\/wp-content\/uploads\/2025\/11\/image-5.png 644w, https:\/\/www.leexinghai.com\/aic\/wp-content\/uploads\/2025\/11\/image-5-300x157.png 300w\" sizes=\"auto, (max-width: 644px) 100vw, 644px\" \/><\/figure>\n<\/div>\n\n\n<p>\u6211\u4eec\u53ef\u4ee5\u53c2\u7167<strong>\u56fe 1\uff08\u7b2c4\u9875\uff09<\/strong> \u7684\u4e0a\u534a\u90e8\u5206\u6765\u7406\u89e3\u8fd9\u4e2a\u6d41\u7a0b\u3002 <\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>\u6570\u636e\u589e\u5f3a (Augmenter)<\/strong>\uff1a \n<ul class=\"wp-block-list\">\n<li>\u6211\u4eec\u4ece\u4e00\u5f20\u75c5\u5bb3\u56fe\u7247\u5f00\u59cb\u3002<\/li>\n\n\n\n<li>\u8fd9\u5f20\u56fe\u7247\u4f1a\u7ecf\u8fc7\u201cAugmenter\u201d\uff08\u6570\u636e\u589e\u5f3a\u5668\uff09\uff0c\u751f\u6210<em>\u4e24\u4e2a<\/em>\u968f\u673a\u53d8\u6362\u8fc7\u7684\u7248\u672c\uff08\u6bd4\u5982\uff0c\u4e00\u5f20\u88ab\u88c1\u526a\uff0c\u53e6\u4e00\u5f20\u8c03\u6574\u4e86\u989c\u8272\uff09\u3002 \u8bba\u6587\u79f0\u8fd9\u4e24\u4e2a\u7248\u672c\u4e3a\u201c\u6b63\u6837\u672c\u5bf9\u201d (positive pair)\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u7f16\u7801\u5668 (Encoder)<\/strong>\uff1a \n<ul class=\"wp-block-list\">\n<li>\u8fd9\u4e24\u4e2a\u589e\u5f3a\u540e\u7684\u56fe\u7247\uff0c\u88ab\u9001\u5165<em>\u540c\u4e00\u4e2a<\/em>\u7f16\u7801\u5668\u7f51\u7edc\uff08Enc(<em><strong>\u00b7<\/strong><\/em>)\uff09\u3002<\/li>\n\n\n\n<li>\u7f16\u7801\u5668\u7684\u4f5c\u7528\u662f\u5c06\u6bcf\u5f20\u56fe\u7247\u8f6c\u6362\u6210\u4e00\u4e2a\u7279\u5f81\u5411\u91cf\uff08\u4e00\u4e32\u6570\u5b57\uff09\uff0c\u8bba\u6587\u4e2d\u7528 h \u8868\u793a\u3002\u8fd9\u5c31\u50cf\u662f\u6a21\u578b\u5bf9\u56fe\u7247\u5185\u5bb9\u7684\u201c\u6d53\u7f29\u7406\u89e3\u201d\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u6295\u5f71\u4eea (Projector)<\/strong>\uff1a \n<ul class=\"wp-block-list\">\n<li>\u4e0a\u4e00\u6b65\u5f97\u5230\u7684\u7279\u5f81\u5411\u91cf h \u4f1a\u518d\u7ecf\u8fc7\u4e00\u4e2a\u201cProjector\u201d\uff08\u6295\u5f71\u7f51\u7edc, Proj(<em><strong>\u00b7<\/strong><\/em>)\uff09\u3002<\/li>\n\n\n\n<li>\u8fd9\u4f1a\u628a h \u6620\u5c04\u5230\u53e6\u4e00\u4e2a\u7279\u5f81\u7a7a\u95f4\uff0c\u5f97\u5230\u5411\u91cf z\u3002 \u8fd9\u4e48\u505a\u7684\u76ee\u7684\u662f\u4e3a\u4e86\u8ba1\u7b97\u5bf9\u6bd4\u635f\u5931\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u5bf9\u6bd4\u635f\u5931 (Contrastive loss)<\/strong>\uff1a \n<ul class=\"wp-block-list\">\n<li>\u8fd9\u662f\u6700\u5173\u952e\u7684\u4e00\u6b65\u3002\u7b97\u6cd5\u4f1a\u6bd4\u8f83\u6765\u81ea\u4e0d\u540c\u56fe\u7247\u7684 z \u5411\u91cf\u3002<\/li>\n\n\n\n<li>\u6b63\u5982\u6211\u4eec\u4e4b\u524d\u8ba8\u8bba\u7684\uff0c\u56e0\u4e3a\u8fd9\u662f<strong>\u76d1\u7763<\/strong>\u5bf9\u6bd4\u5b66\u4e60\uff0c\u5b83\u4f1a\u5229\u7528\u201c\u6807\u7b7e\u201d\u4fe1\u606f\u3002<\/li>\n\n\n\n<li><strong>\u76ee\u6807<\/strong>\uff1a\u62c9\u8fd1\u6240\u6709\u201c\u540c\u7c7b\u201d\u6837\u672c\uff08\u6bd4\u5982\uff0c\u6240\u6709\u201c\u82f9\u679c\u9ed1\u661f\u75c5\u201d\u56fe\u7247\u7684\u5411\u91cf\uff09\uff0c\u540c\u65f6\u63a8\u8fdc\u6240\u6709\u201c\u4e0d\u540c\u7c7b\u201d\u6837\u672c\uff08\u6bd4\u5982\uff0c\u201c\u82f9\u679c\u9ed1\u661f\u75c5\u201d\u548c\u201c\u7389\u7c73\u53f6\u6591\u75c5\u201d\u7684\u5411\u91cf\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<p><strong>\u8fd9\u4e2a\u9636\u6bb5\u7684\u6700\u7ec8\u6210\u679c\u662f\u4ec0\u4e48\uff1f<\/strong><\/p>\n\n\n\n<p>\u5f88\u91cd\u8981\u7684\u4e00\u70b9\u662f\uff0c\u8fd9\u4e2a\u9636\u6bb5\u7684\u4ea7\u7269<em>\u4e0d\u662f<\/em>\u4e00\u4e2a\u5206\u7c7b\u5668\u3002\u5982\u8bba\u6587\u7b2c5\u9875\u6240\u8ff0\uff0c\u5b83\u7684\u8f93\u51fa\u662f\u4e00\u4e2a\u8bad\u7ec3\u5f97\u975e\u5e38\u597d\u7684<strong>\u7f16\u7801\u5668\u7f51\u7edc Enc(<em><strong>\u00b7<\/strong><\/em>)<\/strong>\u8fd9\u4e2a\u7f16\u7801\u5668\u73b0\u5728\u975e\u5e38\u64c5\u957f\u63d0\u53d6\u75c5\u5bb3\u7279\u5f81\uff0c\u80fd\u628a\u540c\u7c7b\u75c5\u5bb3\u7684\u56fe\u7247\u5728\u7279\u5f81\u7a7a\u95f4\u4e2d\u201c\u805a\u62e2\u201d\u5728\u4e00\u8d77\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2.2 \u6570\u636e\u589e\u5f3a\u7684\u5177\u4f53\u65b9\u6cd5<\/h3>\n\n\n\n<p>\u6211\u4eec\u6765\u770b\u770b\u8bba\u6587 3.2 \u8282\uff08\u7b2c9\u9875\uff09\u7684\u5177\u4f53\u5185\u5bb9\u3002<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"653\" height=\"259\" src=\"https:\/\/www.leexinghai.com\/aic\/wp-content\/uploads\/2025\/11\/image-6.png\" alt=\"\" class=\"wp-image-3841\" srcset=\"https:\/\/www.leexinghai.com\/aic\/wp-content\/uploads\/2025\/11\/image-6.png 653w, https:\/\/www.leexinghai.com\/aic\/wp-content\/uploads\/2025\/11\/image-6-300x119.png 300w\" sizes=\"auto, (max-width: 653px) 100vw, 653px\" \/><\/figure>\n<\/div>\n\n\n<p>\u4f5c\u8005\u6d4b\u8bd5\u4e86\u56db\u79cd\u4e3b\u8981\u7684\u6570\u636e\u589e\u5f3a\u65b9\u6cd5\uff0c\u5e76\u7ed9\u5b83\u4eec\u5206\u914d\u4e86\u4ee3\u53f7\u4ee5\u4fbf\u4e8e\u7ec4\u5408\u6d4b\u8bd5\uff1a<sup><\/sup><\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>For simplicity, we denote A, B, C and D to represent 4 kinds of data augmentations.<\/p>\n\n\n\n<p>Trans:\u4e3a\u7b80\u5316\u8868\u8ff0\uff0c\u6211\u4eec\u7528A\u3001B\u3001C\u548cD\u5206\u522b\u8868\u793a\u56db\u79cd\u6570\u636e\u589e\u5f3a\u65b9\u6cd5\u3002<\/p>\n<\/blockquote>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>A is the random length width ratio cropping, and the random cropping area ratio is 0.2-1.0. <\/p>\n\n\n\n<p>B denotes the random horizontal flipping of the images according to the probability, and the flipping probability is 0.5. <\/p>\n\n\n\n<p>C is the image color distortion operation that modifies brightness, contrast, and saturation, and for which a probability of 0.8 is applied.<\/p>\n\n\n\n<p>D denotes the random conversion of images to grayscale images.<\/p>\n<\/blockquote>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>A\uff1a\u968f\u673a\u957f\u5bbd\u6bd4\u88c1\u526a<\/strong>\uff08\u4ee5\u53ca 0.2-1.0 \u7684\u968f\u673a\u88c1\u526a\u9762\u79ef\uff09<\/li>\n\n\n\n<li><strong>B\uff1a\u968f\u673a\u6c34\u5e73\u7ffb\u8f6c<\/strong>\uff08\u6982\u7387\u4e3a 0.5\uff09<\/li>\n\n\n\n<li><strong>C\uff1a\u56fe\u50cf\u989c\u8272\u5931\u771f<\/strong>\uff08\u4fee\u6539\u4eae\u5ea6\u3001\u5bf9\u6bd4\u5ea6\u548c\u9971\u548c\u5ea6\uff0c\u6982\u7387\u4e3a 0.8\uff09<\/li>\n\n\n\n<li><strong>D\uff1a\u968f\u673a\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf<\/strong> <\/li>\n<\/ul>\n\n\n\n<p>\u4ed6\u4eec\u901a\u8fc7\u5b9e\u9a8c\uff08\u5982\u88683\u6240\u793a\uff09\u6765\u627e\u5230\u6548\u679c\u6700\u597d\u7684\u7ec4\u5408\u3002<sup><\/sup><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u5728<strong>\u4e09\u79cd\u65b9\u6cd5\u7ec4\u5408<\/strong>\u4e2d\uff0c<strong>A+B+C<\/strong>\uff08\u88c1\u526a + \u7ffb\u8f6c + \u989c\u8272\u5931\u771f\uff09\u7684\u8bc6\u522b\u51c6\u786e\u7387\u6700\u9ad8\u3002<\/li>\n\n\n\n<li>\u4ed6\u4eec\u8fd8\u53d1\u73b0\uff0c\u4efb\u4f55\u5305\u542b <strong>D\uff08\u968f\u673a\u7070\u5ea6\uff09<\/strong> \u7684\u7ec4\u5408\u90fd\u4f1a\u5bfc\u81f4\u51c6\u786e\u7387\u4e0b\u964d\u3002<\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>This operation causes the disease image to lose its color. Therefore, it is reasonable to speculate that in the supervised contrastive learning, the color information of thedisease enables the encoding network to pull samples of other categories further apart. If the color information is lost, the encoding network cannot effectively cluster the samples of the same disease.<\/p>\n\n\n\n<p>Trans:\u8be5\u64cd\u4f5c\u4f1a\u5bfc\u81f4\u75be\u75c5\u56fe\u50cf\u989c\u8272\u4fe1\u606f\u4e22\u5931\u3002\u56e0\u6b64\u53ef\u4ee5\u5408\u7406\u63a8\u6d4b\uff0c\u5728\u76d1\u7763\u5bf9\u6bd4\u5b66\u4e60\u4e2d\uff0c\u75be\u75c5\u989c\u8272\u4fe1\u606f\u80fd\u4f7f\u7f16\u7801\u7f51\u7edc\u5c06\u4e0d\u540c\u7c7b\u522b\u7684\u6837\u672c\u8fdb\u4e00\u6b65\u533a\u5206\u3002\u82e5\u989c\u8272\u4fe1\u606f\u4e22\u5931\uff0c\u7f16\u7801\u7f51\u7edc\u5c06\u65e0\u6cd5\u6709\u6548\u5bf9\u540c\u79cd\u75be\u75c5\u7684\u6837\u672c\u8fdb\u884c\u805a\u7c7b\u3002<\/p>\n<\/blockquote>\n\n\n\n<p>\u8bba\u6587\u63a8\u6d4b\uff0c\u8fd9\u662f\u56e0\u4e3a\u989c\u8272\u4fe1\u606f\u5bf9\u4e8e\u7f16\u7801\u5668\u533a\u5206\u4e0d\u540c\u75c5\u5bb3\u975e\u5e38\u5173\u952e\uff0c\u800c\u7070\u5ea6\u64cd\u4f5c\u4f1a\u4e22\u5931\u8fd9\u4e9b\u4fe1\u606f\u3002<sup><\/sup><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2.3 \u6295\u5f71\u4eea\u7684\u53bb\u5411<\/h3>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Projection Network, denoted as Proj(\u2022), maps the representation vector obtained after the encoding network to the contrastive loss space. Usually, Proj(\u2022) is instantiated as a Multi-Layer Perceptron (MLP) and discarded after the contrastive training (Tian et al., 2020).<\/p>\n\n\n\n<p>Trans:\u6295\u5f71\u7f51\u7edc\uff08Proj\uff08\u2022\uff09\uff09\u5c06\u7f16\u7801\u7f51\u7edc\u751f\u6210\u7684\u8868\u5f81\u5411\u91cf\u6620\u5c04\u81f3\u5bf9\u6bd4\u635f\u5931\u7a7a\u95f4\u3002\u8be5\u7f51\u7edc\u901a\u5e38\u91c7\u7528\u591a\u5c42\u611f\u77e5\u5668\uff08MLP\uff09\u5b9e\u73b0\uff0c\u5e76\u5728\u5bf9\u6bd4\u8bad\u7ec3\u5b8c\u6210\u540e\u88ab\u4e22\u5f03\uff08Tian\u7b49\u4eba\uff0c2020\uff09\u3002<\/p>\n<\/blockquote>\n\n\n\n<p>\u7b80\u5355\u6765\u8bf4\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u7b2c\u4e00\u9636\u6bb5\uff08\u8bad\u7ec3\uff09<\/strong>\uff1a\u9700\u8981\u201c\u6295\u5f71\u4eea\u201d (Proj\uff08\u2022\uff09)\u3002\u5b83\u7684\u552f\u4e00\u5de5\u4f5c\u662f\u8f85\u52a9\u8ba1\u7b97\u201c\u5bf9\u6bd4\u635f\u5931\u201d\u3002\u5b83\u5c06\u7f16\u7801\u5668 Enc\uff08\u2022\uff09 \u4ea7\u751f\u7684\u7279\u5f81 h \u6620\u5c04\u5230\u53e6\u4e00\u4e2a\u7a7a\u95f4\uff0c\u4ee5\u4fbf\u6a21\u578b\u66f4\u6709\u6548\u5730\u201c\u62c9\u8fd1\u201d\u540c\u7c7b\u3001\u201c\u63a8\u8fdc\u201d\u5f02\u7c7b\u3002<\/li>\n\n\n\n<li><strong>\u7b2c\u4e8c\u9636\u6bb5\uff08\u6d4b\u8bd5\/\u5e94\u7528\uff09<\/strong>\uff1a\u4e0d\u9700\u8981\u201c\u6295\u5f71\u4eea\u201d\u3002\u6211\u4eec\u771f\u6b63\u9700\u8981\u7684\u662f\u90a3\u4e2a\u8bad\u7ec3\u597d\u7684<strong>\u7f16\u7801\u5668 Enc\uff08\u2022\uff09<\/strong> \uff0c\u56e0\u4e3a\u5b83\u5b66\u4f1a\u4e86\u5982\u4f55\u4ece\u539f\u59cb\u56fe\u50cf\u4e2d\u63d0\u53d6\u51fa\u6709\u610f\u4e49\u7684\u3001\u53ef\u533a\u5206\u7684\u7279\u5f81\uff08\u5411\u91cf h\uff09\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u56e0\u6b64\uff0c\u8bad\u7ec3\u7ed3\u675f\u540e\uff0c\u6211\u4eec\u5c31\u6254\u6389\u201c\u6295\u5f71\u4eea\u201d\u8fd9\u4e2a\u811a\u624b\u67b6\uff0c\u53ea\u4fdd\u7559\u6700\u6709\u4ef7\u503c\u7684\u201c\u7f16\u7801\u5668\u201d Enc\uff08\u2022\uff09\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\"\/>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\">3.\u6df1\u5165\u4e86\u89e3 \u7b2c\u4e8c\u9636\u6bb5<\/h2>\n\n\n\n<p><strong>\u6700\u8fd1\u8d28\u5fc3\u5206\u7c7b (Nearest-centroid Classification)<\/strong>\u3002<\/p>\n\n\n\n<p>\u73b0\u5728\u6211\u4eec\u6709\u4e86\u7b2c\u4e00\u9636\u6bb5\u8bad\u7ec3\u597d\u7684\u3001\u5f3a\u5927\u7684\u7f16\u7801\u5668 Enc\uff08\u2022\uff09\uff08\u5728\u56fe1\u548c\u56fe3\u4e2d\u88ab\u79f0\u4e3a f<sub>\u03b8<\/sub>\uff09\u3002\u5728\u7b2c\u4e8c\u9636\u6bb5\uff0c\u6211\u4eec<strong>\u51bb\u7ed3<\/strong> (freeze) \u8fd9\u4e2a\u7f16\u7801\u5668\uff0c\u4e0d\u518d\u6539\u52a8\u5b83\u3002<\/p>\n\n\n\n<p>\u8fd9\u4e2a\u9636\u6bb5\u5c31\u662f\u771f\u6b63\u6267\u884c\u201c\u5c0f\u6837\u672c\u201d\u4efb\u52a1\u7684\u5730\u65b9\uff0c\u5b83\u4f1a\u7528\u5230\u4e24\u4e2a\u5c0f\u6570\u636e\u96c6\uff1a<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>\u652f\u6301\u96c6 (Support Set)<\/strong>\uff1a\u8fd9\u662f\u6211\u4eec\u4ec5\u6709\u7684\u5c11\u91cf\u8bad\u7ec3\u6837\u672c\u3002\u6bd4\u5982\uff0c\u5728\u4e00\u4e2a\u201c5-way 1-shot\u201d\u4efb\u52a1\u4e2d\uff0c\u652f\u6301\u96c6\u5c31\u53ea\u6709 5 \u4e2a\u7c7b\u522b\uff0c\u6bcf\u4e2a\u7c7b\u522b 1 \u5f20\u56fe\u7247\u3002<\/li>\n\n\n\n<li><strong>\u67e5\u8be2\u96c6 (Query Set)<\/strong>\uff1a\u8fd9\u662f\u6211\u4eec\u9700\u8981\u5206\u7c7b\u7684\u201c\u65b0\u201d\u56fe\u7247\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u5177\u4f53\u6d41\u7a0b\u5982\u4e0b\uff08\u53ef\u4ee5\u53c2\u7167\u56fe 3 \uff09\uff1a<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>\u8ba1\u7b97\u201c\u7c7b\u522b\u539f\u578b\u201d (Class Prototypes) \u03bc<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>\u6211\u4eec\u628a\u201c\u652f\u6301\u96c6\u201d\u4e2d\u7684\u6240\u6709\u56fe\u7247\uff08\u6bd4\u5982\u90a3 5 \u5f20\u56fe\uff09\u90fd\u9001\u5165\u6211\u4eec\u51bb\u7ed3\u597d\u7684\u7f16\u7801\u5668 f<sub>\u03b8<\/sub>\uff0c\u5f97\u5230\u5b83\u4eec\u5404\u81ea\u7684\u7279\u5f81\u5411\u91cf\u3002 <\/li>\n\n\n\n<li>\u5bf9\u4e8e<em>\u540c\u4e00\u4e2a\u7c7b\u522b<\/em>\u7684\u6240\u6709\u6837\u672c\uff08\u5728\u8fd9\u4e2a 1-shot \u4f8b\u5b50\u4e2d\u53ea\u6709\u4e00\u4e2a\uff09\uff0c\u6211\u4eec\u8ba1\u7b97\u5b83\u4eec\u7279\u5f81\u5411\u91cf\u7684<strong>\u5e73\u5747\u503c<\/strong>\u3002 <\/li>\n\n\n\n<li>\u8fd9\u4e2a\u5e73\u5747\u5411\u91cf \u03bc \u5c31\u6210\u4e86\u4e00\u4e2a\u201c\u7c7b\u522b\u539f\u578b\u201d\uff08\u4e5f\u53eb\u201c\u8d28\u5fc3\u201d\uff09\uff0c\u5b83\u4ee3\u8868\u4e86\u8fd9\u4e2a\u7c7b\u522b\u5728\u7279\u5f81\u7a7a\u95f4\u4e2d\u7684\u201c\u4e2d\u5fc3\u70b9\u201d\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u5206\u7c7b\u201c\u67e5\u8be2\u96c6\u201d (Query Set) \u56fe\u50cf<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>\u6211\u4eec\u62ff\u4e00\u5f20\u201c\u67e5\u8be2\u96c6\u201d\u91cc\u7684\u65b0\u56fe\u7247\uff0c\u540c\u6837\u7528\u7f16\u7801\u5668 f<sub>\u03b8<\/sub> \u628a\u5b83\u8f6c\u6362\u6210\u4e00\u4e2a\u7279\u5f81\u5411\u91cf\u3002 <\/li>\n\n\n\n<li>\u63a5\u7740\uff0c\u6211\u4eec\u8ba1\u7b97\u8fd9\u4e2a\u65b0\u5411\u91cf\u4e0e<em>\u6240\u6709<\/em>\u201c\u7c7b\u522b\u539f\u578b\u201d \u03bc \u4e4b\u95f4\u7684\u8ddd\u79bb\uff08\u8bba\u6587\u4e2d\u4f7f\u7528\u4e86\u6b27\u6c0f\u8ddd\u79bb\uff09\u3002<\/li>\n\n\n\n<li>\u8fd9\u4e2a\u65b0\u56fe\u7247\u79bb\u54ea\u4e2a\u201c\u7c7b\u522b\u539f\u578b\u201d\u6700\u8fd1\uff0c\u5b83\u5c31\u88ab\u5f52\u4e3a\u54ea\u4e00\u7c7b\u3002 <\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<p>\u8fd9\u5c31\u662f\u6574\u4e2a\u7b97\u6cd5\u7684\u6838\u5fc3\uff1a\u5148\u7528\u201c\u76d1\u7763\u5bf9\u6bd4\u5b66\u4e60\u201d\u628a\u540c\u7c7b\u75c5\u5bb3\u5728\u7279\u5f81\u7a7a\u95f4\u4e2d\u201c\u805a\u62e2\u201d\u8d77\u6765\uff08\u7b2c\u4e00\u9636\u6bb5\uff09\uff0c\u518d\u901a\u8fc7\u8ba1\u7b97\u65b0\u6837\u672c\u79bb\u54ea\u4e2a\u201c\u805a\u62e2\u4e2d\u5fc3\u201d\uff08\u539f\u578b\uff09\u6700\u8fd1\u6765\u8fdb\u884c\u5206\u7c7b\uff08\u7b2c\u4e8c\u9636\u6bb5\uff09\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\"\/>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\">4.\u5b9e\u9a8c\u8bbe\u7f6e<\/h2>\n\n\n\n<p>\u4ed6\u4eec\u4f7f\u7528\u4e86\u4e24\u4e2a\u5173\u952e\u7684\u6570\u636e\u96c6\uff1a<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>The first is PlantVillage (Hughes and Salathe, 2016) which is the most widely used open-access plant disease image database. It collects 54,306 images of plant disease leaves, including 14 kinds of plants and a total of 38 classes.<\/p>\n\n\n\n<p>Trans:\u7b2c\u4e00\u4e2a\u662fPlantVillage\uff08Hughes\u548cSalathe\uff0c2016\uff09\uff0c\u8fd9\u662f\u76ee\u524d\u4f7f\u7528\u6700\u5e7f\u6cdb\u7684\u5f00\u653e\u83b7\u53d6\u690d\u7269\u75c5\u5bb3\u56fe\u50cf\u6570\u636e\u5e93\uff0c\u5171\u6536\u5f55\u4e8654,306\u5f20\u690d\u7269\u75c5\u5bb3\u53f6\u7247\u56fe\u50cf\uff0c\u6db5\u76d614\u79cd\u690d\u7269\uff0c\u517138\u4e2a\u7c7b\u522b\u3002<\/p>\n\n\n\n<p>PDD includes five types of images of potato leaf diseases, namely early blight, late blight, leaf curl, anthracnose and healthy leaves, with 40 images in each class.<\/p>\n\n\n\n<p>Trans:PDD\u5305\u542b\u9a6c\u94c3\u85af\u53f6\u75c5\u7684\u4e94\u79cd\u5178\u578b\u56fe\u50cf\u7c7b\u578b\uff0c\u5206\u522b\u662f\u65e9\u75ab\u75c5\u3001\u665a\u75ab\u75c5\u3001\u53f6\u5377\u75c5\u3001\u70ad\u75bd\u75c5\u548c\u5065\u5eb7\u53f6\u7247\uff0c\u6bcf\u7c7b\u56fe\u50cf\u5404\u5305\u542b40\u5f20\u3002<\/p>\n<\/blockquote>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>PlantVillage \u6570\u636e\u96c6<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>\u8fd9\u662f\u4e00\u4e2a\u975e\u5e38\u8457\u540d\u548c\u5e7f\u6cdb\u4f7f\u7528\u7684\u516c\u5f00\u6570\u636e\u96c6\u3002<\/li>\n\n\n\n<li>\u5b83\u5305\u542b\u4e86 14 \u79cd\u690d\u7269\u3001\u5171 38 \u4e2a\u7c7b\u522b\u7684 54,306 \u5f20\u56fe\u7247\u3002 <\/li>\n\n\n\n<li><strong>\u5173\u952e\u7279\u70b9<\/strong>\uff1a\u8fd9\u4e9b\u7167\u7247\u90fd\u662f\u5728<strong>\u5b9e\u9a8c\u5ba4\u6761\u4ef6<\/strong>\u4e0b\u62cd\u6444\u7684\uff0c\u80cc\u666f\u975e\u5e38\u5e72\u51c0\u3001\u5355\u4e00\u3002 <\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>PDD (\u9a6c\u94c3\u85af\u75c5\u5bb3\u6570\u636e\u96c6)<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>\u8fd9\u662f\u4f5c\u8005\u81ea\u5df1\u4ece\u4e92\u8054\u7f51\u4e0a\u6536\u96c6\u7684\u6570\u636e\u96c6\u3002<\/li>\n\n\n\n<li>\u5b83\u53ea\u5305\u542b 5 \u4e2a\u7c7b\u522b\uff08\u65e9\u75ab\u75c5\u3001\u665a\u75ab\u75c5\u3001\u5377\u53f6\u75c5\u3001\u70ad\u75bd\u75c5\u548c\u5065\u5eb7\u53f6\u7247\uff09\u3002 <\/li>\n\n\n\n<li><strong>\u5173\u952e\u7279\u70b9<\/strong>\uff1a\u8fd9\u4e9b\u7167\u7247\u90fd\u662f\u5728<strong>\u81ea\u7136\u573a\u666f<\/strong>\u4e0b\u62cd\u6444\u7684\uff0c\u5149\u7167\u6761\u4ef6\u591a\u53d8\uff0c\u80cc\u666f\u975e\u5e38\u590d\u6742\u3002 <\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<p>\u57fa\u4e8e\u8fd9\u4e24\u4e2a\u6570\u636e\u96c6\uff0c\u4f5c\u8005\u8bbe\u8ba1\u4e86\u4e24\u79cd\u6d4b\u8bd5\u201c<strong>\u60c5\u666f<\/strong>\u201d (Scenarios) \u6765\u8bc4\u4f30\u6a21\u578b\u7684\u6027\u80fd\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u60c5\u666f A<\/strong>\uff1a\u8bad\u7ec3\u548c\u6d4b\u8bd5\u6570\u636e<strong>\u90fd\u6765\u81ea PlantVillage<\/strong>\u3002  \u8fd9\u7528\u6765\u6d4b\u8bd5\u6a21\u578b\u5728\u6570\u636e\u7279\u5f81\u76f8\u4f3c\uff08\u90fd\u662f\u5b9e\u9a8c\u5ba4\u80cc\u666f\uff09\u7684\u60c5\u51b5\u4e0b\u7684\u8868\u73b0\u3002<\/li>\n\n\n\n<li><strong>\u60c5\u666f B<\/strong>\uff1a\u8bad\u7ec3\u6570\u636e\u6765\u81ea PlantVillage\uff0c\u4f46\u6d4b\u8bd5\u6570\u636e\u6765\u81ea <strong>PDD<\/strong>\u3002 \u8fd9\u662f\u4e00\u4e2a\u66f4\u96be\u7684\u201c\u8de8\u57df\u201d (cross-domain) \u6d4b\u8bd5\uff0c\u7528\u6765\u68c0\u9a8c\u6a21\u578b\u4ece\u5b9e\u9a8c\u5ba4\u5b66\u5230\u7684\u77e5\u8bc6\u80fd\u5426\u201c\u8fc1\u79fb\u201d\u5230\u590d\u6742\u7684\u81ea\u7136\u573a\u666f\u4e2d\u3002 <\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\"\/>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\">5.\u5b9e\u9a8c\u7ed3\u679c<\/h2>\n\n\n\n<h2 class=\"wp-block-heading\">5.1 \u540c\u6e90\u6570\u636e\u5b9e\u9a8c\u7ed3\u679c<\/h2>\n\n\n\n<p>\u8fd9\u5f20\u8868\u6bd4\u8f83\u4e86\u4f5c\u8005\u63d0\u51fa\u7684 SC-FSL \u7b97\u6cd5\u548c\u5176\u4ed6\u4e5d\u79cd\u6d41\u884c\u7684 FSL\uff08\u5c0f\u6837\u672c\u5b66\u4e60\uff09\u7b97\u6cd5\u5728\u201c\u60c5\u666f A\u201d\uff08\u6570\u636e\u5747\u6765\u81ea PlantVillage\uff09\u4e0a\u7684\u8868\u73b0\u3002<\/p>\n\n\n\n<p>\u6211\u4eec\u5148\u5f04\u6e05\u695a\u4e24\u4e2a\u5173\u952e\u6307\u6807\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>5-way 1-shot<\/strong>\uff1a\u6a21\u578b\u9700\u8981\u533a\u5206 5 \u4e2a\u75c5\u5bb3\u7c7b\u522b\uff0c\u4f46\u5728\u201c\u652f\u6301\u96c6\u201d\u4e2d\u6bcf\u7c7b\u53ea\u7ed9\u5b83\u770b\u4e86 1 \u5f20\u56fe\u7247\u3002<\/li>\n\n\n\n<li><strong>5-way 5-shot<\/strong>\uff1a\u6a21\u578b\u9700\u8981\u533a\u5206 5 \u4e2a\u75c5\u5bb3\u7c7b\u522b\uff0c\u6bcf\u7c7b\u7ed9\u5b83\u770b\u4e86 5 \u5f20\u56fe\u7247\u3002<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><td><strong>\u7b97\u6cd5<\/strong><\/td><td><strong>5-way 1-shot (\u51c6\u786e\u7387 %)<\/strong><\/td><td><strong>5-way 5-shot (\u51c6\u786e\u7387 %)<\/strong><\/td><\/tr><\/thead><tbody><tr><td>ProtoNet<\/td><td>75.32 \u00b1 0.80<\/td><td>89.70 \u00b1 0.51<\/td><\/tr><tr><td>MatchingNet<\/td><td>76.80 \u00b1 0.81<\/td><td>87.85 \u00b1 0.56<\/td><\/tr><tr><td>RelationNet<\/td><td>74.71 \u00b1 0.83<\/td><td>88.90 \u00b1 0.40<\/td><\/tr><tr><td>... (\u5176\u4ed6\u7b97\u6cd5)<\/td><td>...<\/td><td>...<\/td><\/tr><tr><td><strong>SC-FSL (\u672c\u6587\u7b97\u6cd5)<\/strong><\/td><td><strong>78.55 \u00b1 0.81<\/strong><\/td><td><strong>92.90 \u00b1 0.47<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>It can be seen from Table 4 that among all the algorithms, the SC-FSL achieves the highest recognition accuracy in both 5-way 1-shot and 5-way 5-shot.<\/p>\n\n\n\n<p><strong>\u6838\u5fc3\u7ed3\u8bba\u662f\uff1a<\/strong> \u4f5c\u8005\u7684 SC-FSL \u7b97\u6cd5\u5728 1-shot \u548c 5-shot \u4efb\u52a1\u4e0a\u5747\u53d6\u5f97\u4e86<strong>\u6700\u9ad8<\/strong>\u7684\u8bc6\u522b\u51c6\u786e\u7387\u3002 <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><\/p>\n<\/blockquote>\n\n\n\n<p>\u8fd9\u8868\u660e\uff0c\u5728\u7b2c\u4e00\u9636\u6bb5\u4f7f\u7528\u201c\u76d1\u7763\u5bf9\u6bd4\u5b66\u4e60\u201d\u9884\u8bad\u7ec3\u51fa\u7684\u7f16\u7801\u5668\uff0c\u786e\u5b9e\u4e3a\u7b2c\u4e8c\u9636\u6bb5\u7684\u5c0f\u6837\u672c\u5206\u7c7b\u4efb\u52a1\u63d0\u4f9b\u4e86\u975e\u5e38\u5f3a\u5927\u7684\u7279\u5f81\u63d0\u53d6\u80fd\u529b\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">5.2 \u8de8\u57df\u6570\u636e\u5b9e\u9a8c\u7ed3\u679c<\/h2>\n\n\n\n<p>\u8fd9\u662f\u4e00\u4e2a\u66f4\u5177\u6311\u6218\u6027\u7684\u6d4b\u8bd5\uff0c\u56e0\u4e3a\u6a21\u578b\u5728\u7b2c\u4e00\u9636\u6bb5\u662f\u5728\u201c\u5b9e\u9a8c\u5ba4\u201d\u6570\u636e (PlantVillage) \u4e0a\u8bad\u7ec3\u7684\uff0c\u4f46\u5728\u7b2c\u4e8c\u9636\u6bb5\u5fc5\u987b\u53bb\u8bc6\u522b\u201c\u81ea\u7136\u573a\u666f\u201d\u4e0b\u62cd\u6444\u7684\u9a6c\u94c3\u85af\u75c5\u5bb3 (PDD) <sup><\/sup>\u3002<\/p>\n\n\n\n<p class=\"has-text-align-center\"><strong>\u8868 5\uff1a\u9a6c\u94c3\u85af\u75c5\u5bb3\u8bc6\u522b\u7ed3\u679c\uff08\u8282\u9009\uff09<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><td><strong>M-shot (\u6837\u672c\u6570)<\/strong><\/td><td><strong>Resnet18 \u51c6\u786e\u7387 (%)<\/strong><\/td><td><strong>Resnet50 \u51c6\u786e\u7387 (%)<\/strong><\/td><\/tr><\/thead><tbody><tr><td>1-shot<\/td><td>43.70 \u00b1 0.63<\/td><td>49.12 \u00b1 0.73<\/td><\/tr><tr><td>5-shot<\/td><td>60.48 \u00b1 0.54<\/td><td>68.29 \u00b1 0.53<\/td><\/tr><tr><td>10-shot<\/td><td>64.87 \u00b1 0.52<\/td><td>73.31 \u00b1 0.46<\/td><\/tr><tr><td>30-shot<\/td><td>69.31 \u00b1 0.50<\/td><td><strong>79.51 \u00b1 0.39<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>\u5b9e\u9a8c\u7ed3\u679c\u663e\u793a\u4e86\u4e24\u4e2a\u91cd\u8981\u8d8b\u52bf\uff1a<\/strong><\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>\u6837\u672c\u6570\u91cf\u4ecd\u7136\u5173\u952e<\/strong>\uff1a\u5373\u4f7f\u662f\u5c0f\u6837\u672c\uff0c\u6837\u672c\u91cf\u7684\u589e\u52a0\u4e5f\u80fd\u5e26\u6765\u5de8\u5927\u7684\u63d0\u5347 \u3002\u5bf9\u4e8e ResNet50\uff0c\u4ec5\u6709 1 \u5f20\u56fe\u7247 (1-shot) \u65f6\u51c6\u786e\u7387\u4e0d\u5230 50%\uff0c\u4f46\u5f53\u6837\u672c\u589e\u52a0\u5230 30 \u5f20 (30-shot) \u65f6\uff0c\u51c6\u786e\u7387\u8dc3\u5347\u81f3 <strong>79.51%<\/strong> \u3002<\/li>\n\n\n\n<li><strong>\u66f4\u6df1\u7684\u7f51\u7edc\u6cdb\u5316\u80fd\u529b\u66f4\u5f3a<\/strong>\uff1a\u5728\u6240\u6709\u6837\u672c\u6570\u7ea7\u522b\u4e0a\uff0c\u66f4\u6df1\u7684 ResNet50 \u7f51\u7edc\u8868\u73b0\u90fd\u663e\u8457\u4f18\u4e8e\u8f83\u6d45\u7684 ResNet18 \u3002\u8fd9\u8868\u660e\u5728\u7b2c\u4e00\u9636\u6bb5\uff08\u76d1\u7763\u5bf9\u6bd4\u5b66\u4e60\uff09\u4f7f\u7528\u66f4\u6df1\u7684\u7f51\u7edc\uff0c\u80fd\u5b66\u5230\u66f4\u5177\u6cdb\u5316\u80fd\u529b\u7684\u7279\u5f81\uff0c\u8fd9\u5bf9\u4e8e\u8de8\u57df\u4efb\u52a1\uff08\u4ece\u5b9e\u9a8c\u5ba4\u5230\u81ea\u7136\u573a\u666f\uff09\u5c24\u4e3a\u91cd\u8981\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u6b64\u5916\uff0c\u8bba\u6587\u8fd8\u901a\u8fc7<strong>\u56fe 10\uff08\u6df7\u6dc6\u77e9\u9635\uff09<\/strong> \u5206\u6790\u4e86 30-shot \u4efb\u52a1\u4e2d\u5177\u4f53\u7c7b\u522b\u7684\u8bc6\u522b\u60c5\u51b5 <sup><\/sup>\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u6a21\u578b\u5bf9\u201c<strong>\u65e9\u75ab\u75c5<\/strong>\u201d (early blight) \u7684\u8bc6\u522b\u6548\u679c\u6700\u597d\uff08\u51c6\u786e\u7387 91.5%\uff09\uff0c\u5176\u6b21\u662f\u201c\u5065\u5eb7\u201d\u53f6\u7247 (82%) \u3002<\/li>\n\n\n\n<li>\u6a21\u578b\u6700\u5bb9\u6613\u6df7\u6dc6\u7684\u662f\u201c<strong>\u70ad\u75bd\u75c5<\/strong>\u201d (anthracnose)\uff0c\u51c6\u786e\u7387\u6700\u4f4e (70.5%) \u3002\u5b83\u7ecf\u5e38\u88ab\u8bef\u5224\u4e3a\u201c\u5065\u5eb7\u201d\u53f6\u7247\u6216\u201c\u65e9\u75ab\u75c5\u201d \uff0c\u4f5c\u8005\u63a8\u6d4b\u8fd9\u662f\u56e0\u4e3a\u5b83\u4eec\u5728\u67d0\u4e9b\u56fe\u50cf\u4e0a\u7684\u75c5\u6591\u7279\u5f81\u975e\u5e38\u76f8\u4f3c \u3002<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\"\/>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\">6.\u5b9e\u9a8c\u7ed3\u8bba<\/h2>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>However, in agricultural production, the time and place of disease occurrence are random, which makes it difficult to collect large-scale disease samples.<\/p>\n<\/blockquote>\n\n\n\n<p>\u8bba\u6587\u660e\u786e\u6307\u51fa\uff0c\u75c5\u5bb3\u53d1\u751f\u7684\u65f6\u95f4\u548c\u5730\u70b9\u662f\u968f\u673a\u7684\uff0c\u8fd9\u4f7f\u5f97\u6536\u96c6\u5927\u89c4\u6a21\u75c5\u5bb3\u6837\u672c\u53d8\u5f97\u975e\u5e38\u56f0\u96be\u3002<\/p>\n\n\n\n<p>\u8fd9\u6b63\u662f\u4f20\u7edf\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\uff08\u9700\u8981\u5927\u91cf\u6570\u636e\uff09\u5728\u8fd9\u91cc\u78b0\u58c1\u7684\u539f\u56e0\u3002<\/p>\n\n\n\n<p>\u90a3\u4e48\uff0c\u9762\u5bf9\u8fd9\u4e2a\u201c\u6837\u672c\u5f88\u5c11\u201d\u7684\u96be\u9898\uff0c\u4f5c\u8005\u5728\u7ed3\u8bba\u4e2d\u63d0\u51fa\u7684\u65b0\u201c\u8303\u5f0f\u201d (paradigm) \u662f\u4ec0\u4e48\u5462\uff1f\u4ed6\u4eec\u662f\u5982\u4f55\u5206\u4e24\u4e2a\u9636\u6bb5\u6765\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u7684\uff1f<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>In view of the good generalization performance of contrastive learning, we propose a new few-shot disease recognition paradigm called SC-FSL, that is, big data and contrastive learning in the pretraining stage is used in pre-training phase, and few-shot learning is used in the specific disease recognition stage.<\/p>\n\n\n\n<p>Trans:\u9274\u4e8e\u5bf9\u6bd4\u5b66\u4e60\u5177\u6709\u826f\u597d\u7684\u6cdb\u5316\u6027\u80fd\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u540d\u4e3aSC- FSL \u7684\u65b0\u578b\u5c11\u6837\u672c\u75be\u75c5\u8bc6\u522b\u8303\u5f0f\uff1a\u5728\u9884\u8bad\u7ec3\u9636\u6bb5\u91c7\u7528\u5927\u6570\u636e\u4e0e\u5bf9\u6bd4\u5b66\u4e60\u76f8\u7ed3\u5408\u7684\u65b9\u6cd5\uff0c\u800c\u5728\u5177\u4f53\u75be\u75c5\u8bc6\u522b\u9636\u6bb5\u5219\u91c7\u7528\u5c11\u6837\u672c\u5b66\u4e60\u3002<\/p>\n<\/blockquote>\n\n\n\n<p>\u8fd9\u7bc7\u8bba\u6587\u7684\u6838\u5fc3\u8d21\u732e\u5c31\u662f\u8fd9\u4e2a\u65b0\u8303\u5f0f\uff1a<\/p>\n\n\n\n<ol start=\"1\" 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\u5b83\u9488\u5bf9\u4e00\u4e2a\u5f88\u5b9e\u9645\u7684\u519c\u4e1a\u751f\u4ea7\u95ee\u9898\u2014\u2014\u5982\u4f55\u7528\u5c11\u91cf\u6837\u672c\u51c6\u786e\u8bc6\u522b\u690d\u7269\u75c5\u5bb3\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u7b97\u6cd5\u3002 Pla 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