{"id":52735,"date":"2025-08-11T18:24:51","date_gmt":"2025-08-11T10:24:51","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/52735.html"},"modified":"2025-08-11T18:24:51","modified_gmt":"2025-08-11T10:24:51","slug":"%e5%91%8a%e5%88%ab%e4%bc%a0%e7%bb%9f%ef%bc%8ccvpr%e4%b8%89%e8%ae%ba%e6%96%87%e7%94%a8gnn%e5%8a%a8%e6%80%81%e5%9b%be%e9%87%8d%e5%a1%91%e8%a7%86%e8%a7%89ai","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/52735.html","title":{"rendered":"\u544a\u522b\u4f20\u7edf\uff0cCVPR\u4e09\u8bba\u6587\u7528GNN\u52a8\u6001\u56fe\u91cd\u5851\u89c6\u89c9AI"},"content":{"rendered":"<p style=\"text-align:center\">\u672c\u6587\u9009\u81eagongzhonghao<span style=\"color:#fe2c24\">\u3010\u56fe\u7075\u5b66\u672fSCI\u8bba\u6587\u8f85\u5bfc\u3011<\/span><\/p>\n<p style=\"text-align:center\"><span style=\"color:#1a439c\">\u5173\u6ce8\u6211\u4eec&#xff0c;\u638c\u63e1\u66f4\u591a\u9876\u4f1a\u9876\u520a\u53d1\u6587\u8d44\u8baf<\/span><\/p>\n<hr \/>\n<p>\u4eca\u5929&#xff0c;\u4e3a\u5927\u5bb6\u63a8\u8350\u4e00\u4e2a\u6781\u5177\u524d\u6cbf\u4ef7\u503c\u4e0e\u5b9e\u7528\u6f5c\u529b\u7684\u7814\u7a76\u65b9\u5411&#xff1a;<span style=\"color:#fe2c24\">\u56fe\u795e\u7ecf\u7f51\u7edc&#xff08;GNN&#xff09;<\/span>\u3002\u4f5c\u4e3a\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u7684\u65b0\u5174\u529b\u91cf&#xff0c;\u56fe\u795e\u7ecf\u7f51\u7edc\u5728\u8fd1\u5e74\u9876\u4f1a\u8bba\u6587\u4e2d\u7684\u5360\u6bd4\u6301\u7eed\u6500\u5347&#xff0c;\u5c24\u5176\u5728\u56fe\u7ed3\u6784\u6570\u636e\u5efa\u6a21\u3001\u8de8\u6a21\u6001\u5173\u7cfb\u63a8\u7406\u548c\u590d\u6742\u7cfb\u7edf\u4f18\u5316\u7b49\u6838\u5fc3\u9886\u57df\u8868\u73b0\u4eae\u773c\u3002\u8fd9\u4e9b\u7814\u7a76\u901a\u8fc7\u6316\u6398\u8282\u70b9\u95f4\u7684\u62d3\u6251\u5173\u8054\u4e0e\u52a8\u6001\u4ea4\u4e92&#xff0c;\u663e\u8457\u63d0\u5347\u4e86\u6a21\u578b\u5bf9\u975e\u6b27\u51e0\u91cc\u5f97\u6570\u636e\u7684\u8868\u5f81\u80fd\u529b\u4e0e\u6cdb\u5316\u6027\u80fd\u3002<\/p>\n<p>\u56fe\u795e\u7ecf\u7f51\u7edc\u4e0d\u4ec5\u80fd\u9ad8\u6548\u5904\u7406\u793e\u4ea4\u7f51\u7edc\u3001\u5206\u5b50\u7ed3\u6784\u548c\u77e5\u8bc6\u56fe\u8c31\u7b49\u590d\u6742\u5173\u7cfb\u6570\u636e&#xff0c;\u66f4\u56e0\u5176\u5f3a\u5927\u7684\u7ed3\u6784\u9002\u5e94\u6027&#xff0c;\u5728\u836f\u7269\u7814\u53d1\u3001\u91d1\u878d\u98ce\u63a7\u3001\u667a\u6167\u4ea4\u901a\u548c\u5de5\u4e1a\u8bbe\u8ba1\u7b49\u591a\u5143\u5316\u573a\u666f\u4e2d\u5b9e\u73b0\u6280\u672f\u7a81\u7834\u3002\u8fd9\u4e00\u65b9\u5411\u517c\u5177\u7406\u8bba\u6df1\u5ea6\u4e0e\u5e94\u7528\u5e7f\u5ea6&#xff0c;\u662f\u63a8\u52a8\u4e0b\u4e00\u4ee3\u4eba\u5de5\u667a\u80fd\u7684\u5173\u952e\u5f15\u64ce\u3002<\/p>\n<p>\u4e0b\u9762\u5c0f\u56fe\u7ed9\u5927\u5bb6\u7cbe\u90093\u7bc7CVPR\u56fe\u795e\u7ecf\u7f51\u7edc\u65b9\u5411\u7684\u8bba\u6587&#xff0c;\u8bf7\u6ce8\u610f\u67e5\u6536&#xff01;<\/p>\n<\/p>\n<h2>Image Processing GNN: Breaking Rigidity in Super-Resolution<\/h2>\n<p>\u65b9\u6cd5&#xff1a;<\/p>\n<p>\u6587\u7ae0\u9996\u5148\u901a\u8fc7\u8bbe\u8ba1\u7ec6\u8282\u4e30\u5bcc\u5ea6\u6307\u6807\u6765\u8861\u91cf\u56fe\u50cf\u8282\u70b9\u7684\u91cd\u8981\u6027&#xff0c;\u5e76\u636e\u6b64\u4e3a\u9ad8\u9891\u7387\u8282\u70b9\u5206\u914d\u66f4\u9ad8\u7684\u5ea6\u6570&#xff0c;\u4ece\u800c\u6784\u5efa\u51fa\u5ea6\u6570\u7075\u6d3b\u7684\u56fe\u3002\u63a5\u7740&#xff0c;\u5c06\u56fe\u50cf\u89c6\u4e3a\u50cf\u7d20\u8282\u70b9\u96c6\u5408\u800c\u975e\u56fe\u50cf\u5757\u8282\u70b9\u96c6\u5408&#xff0c;\u907f\u514d\u4e86\u56fe\u50cf\u5757\u521a\u6027\u5e26\u6765\u7684\u9519\u4f4d\u95ee\u9898\u3002\u6700\u540e&#xff0c;\u901a\u8fc7\u5728\u5c40\u90e8\u90bb\u57df\u5185\u641c\u7d22\u8282\u70b9\u8fde\u63a5\u6784\u5efa\u5c40\u90e8\u56fe&#xff0c;\u4ee5\u53ca\u5728\u5168\u56fe\u7684\u7a00\u758f\u91c7\u6837\u7a7a\u95f4\u5185\u641c\u7d22\u8282\u70b9\u8fde\u63a5\u6784\u5efa\u5168\u5c40\u56fe&#xff0c;\u5b9e\u73b0\u4e86\u5c40\u90e8\u548c\u5168\u5c40\u4fe1\u606f\u7684\u9ad8\u6548\u805a\u5408&#xff0c;\u4ece\u800c\u63d0\u5347\u4e86\u8d85\u5206\u8fa8\u7387\u6027\u80fd\u3002<\/p>\n<\/p>\n<p class=\"img-center\"><img loading=\"lazy\" decoding=\"async\" alt=\"\u56fe\u7247\" height=\"330\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811102444-6899c4eca0c8b.png\" width=\"1080\" \/><\/p>\n<p>\u521b\u65b0\u70b9&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u63d0\u51fa\u4e86\u57fa\u4e8e\u7ec6\u8282\u4e30\u5bcc\u5ea6\u7684\u5ea6\u6570\u53ef\u53d8\u56fe\u6784\u5efa\u65b9\u6848&#xff0c;\u6253\u7834\u4e86\u4f20\u7edf\u65b9\u6cd5\u4e2d\u6240\u6709\u50cf\u7d20\u805a\u5408\u90bb\u57df\u6570\u91cf\u56fa\u5b9a\u7684\u521a\u6027\u9650\u5236&#xff0c;\u4f7f\u7ec6\u8282\u4e30\u5bcc\u7684\u50cf\u7d20\u80fd\u591f\u805a\u5408\u66f4\u591a\u76f8\u5173\u4fe1\u606f&#xff0c;\u4ece\u800c\u66f4\u597d\u5730\u91cd\u5efa\u56fe\u50cf\u7ec6\u8282\u3002<\/p>\n<\/li>\n<li>\n<p>\u9996\u6b21\u5728\u8d85\u5206\u8fa8\u7387\u4efb\u52a1\u4e2d\u91c7\u7528\u50cf\u7d20\u8282\u70b9\u4ee3\u66ff\u56fe\u50cf\u5757\u8282\u70b9\u6784\u5efa\u56fe&#xff0c;\u907f\u514d\u4e86\u56fe\u50cf\u5757\u521a\u6027\u5e26\u6765\u7684\u9519\u4f4d\u95ee\u9898&#xff0c;\u63d0\u5347\u4e86\u56fe\u805a\u5408\u7684\u7075\u6d3b\u6027\u548c\u51c6\u786e\u6027\u3002<\/p>\n<\/li>\n<li>\n<p>\u8bbe\u8ba1\u4e86\u5c40\u90e8\u548c\u5168\u5c40\u56fe\u91c7\u6837\u7b56\u7565&#xff0c;\u540c\u65f6\u5229\u7528\u5c40\u90e8\u548c\u5168\u5c40\u4fe1\u606f\u8fdb\u884c\u8d85\u5206\u8fa8\u7387\u91cd\u5efa&#xff0c;\u517c\u987e\u4e86\u7ec6\u8282\u91cd\u5efa\u7684\u5c40\u90e8\u9700\u6c42\u548c\u5168\u5c40\u7279\u5f81\u7684\u5229\u7528&#xff0c;\u5728\u4fdd\u6301\u6548\u7387\u7684\u540c\u65f6\u63d0\u5347\u4e86\u8d85\u5206\u8fa8\u7387\u6027\u80fd\u3002<\/p>\n<\/li>\n<\/ul>\n<p class=\"img-center\"><img loading=\"lazy\" decoding=\"async\" alt=\"\u56fe\u7247\" height=\"648\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811102445-6899c4ed9e30e.png\" width=\"1080\" \/><\/p>\n<p>\u8bba\u6587\u94fe\u63a5&#xff1a;<\/p>\n<p>https:\/\/ieeexplore.ieee.org\/document\/10658586<\/p>\n<\/p>\n<h2>GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs<\/h2>\n<p>\u65b9\u6cd5&#xff1a;<\/p>\n<p>\u6587\u7ae0\u9996\u5148\u4ecb\u7ecd\u4e86\u52a8\u6001\u8f74\u5411\u56fe\u6784\u5efa&#xff08;DAGC&#xff09;\u7b97\u6cd5&#xff0c;\u8be5\u7b97\u6cd5\u57fa\u4e8e\u56fe\u50cf\u5757\u4e4b\u95f4\u7684\u6b27\u51e0\u91cc\u5f97\u8ddd\u79bb\u7684\u5747\u503c\u548c\u6807\u51c6\u5dee\u52a8\u6001\u6784\u5efa\u56fe&#xff0c;\u907f\u514d\u4e86KNN\u7b97\u6cd5\u4e2d\u5bf9\u6bcf\u4e2a\u8282\u70b9\u90fd\u8fdb\u884c\u6700\u8fd1\u90bb\u641c\u7d22\u7684\u9ad8\u8ba1\u7b97\u6210\u672c\u3002\u63a5\u7740&#xff0c;\u6587\u7ae0\u8be6\u7ec6\u63cf\u8ff0\u4e86\u5982\u4f55\u5c06DAGC\u7b97\u6cd5\u6574\u5408\u5230GreedyViG\u67b6\u6784\u4e2d&#xff0c;\u901a\u8fc7\u5728\u6bcf\u4e2a\u9636\u6bb5\u7ed3\u5408\u5377\u79ef\u5c42\u548c\u56fe\u5377\u79ef\u5c42&#xff0c;\u5b9e\u73b0\u4e86\u5bf9\u56fe\u50cf\u7684\u5c40\u90e8\u548c\u5168\u5c40\u7279\u5f81\u7684\u9ad8\u6548\u5904\u7406\u3002\u6700\u540e&#xff0c;\u901a\u8fc7\u5728ImageNet-1K\u3001COCO\u548cADE20K\u7b49\u6570\u636e\u96c6\u4e0a\u7684\u5b9e\u9a8c\u9a8c\u8bc1\u4e86GreedyViG\u7684\u6027\u80fd&#xff0c;\u8bc1\u660e\u4e86\u5176\u5728\u591a\u4e2a\u4efb\u52a1\u4e0a\u7684\u4f18\u8d8a\u6027\u3002<\/p>\n<\/p>\n<p class=\"img-center\"><img loading=\"lazy\" decoding=\"async\" alt=\"\u56fe\u7247\" height=\"534\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811102447-6899c4ef42e38.png\" width=\"1080\" \/><\/p>\n<p>\u521b\u65b0\u70b9&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u63d0\u51fa\u4e86\u52a8\u6001\u8f74\u5411\u56fe\u6784\u5efa&#xff08;DAGC&#xff09;\u65b9\u6cd5&#xff0c;\u76f8\u6bd4\u4f20\u7edf\u7684KNN\u56fe\u6784\u5efa\u65b9\u5f0f&#xff0c;DAGC\u901a\u8fc7\u9650\u5236\u56fe\u50cf\u5185\u56fe\u8fde\u63a5\u7684\u6570\u91cf&#xff0c;\u4ec5\u4fdd\u7559\u6700\u91cd\u8981\u7684\u8fde\u63a5&#xff0c;\u663e\u8457\u63d0\u9ad8\u4e86\u8ba1\u7b97\u6548\u7387\u3002<\/p>\n<\/li>\n<li>\n<p>\u8bbe\u8ba1\u4e86GreedyViG\u67b6\u6784&#xff0c;\u8fd9\u662f\u4e00\u79cd\u65b0\u9896\u7684CNN-GNN\u6df7\u5408\u67b6\u6784&#xff0c;\u7ed3\u5408\u4e86\u6761\u4ef6\u4f4d\u7f6e\u7f16\u7801&#xff08;CPE&#xff09;\u548c\u6700\u5927\u76f8\u5bf9\u56fe\u5377\u79ef&#xff0c;\u80fd\u591f\u5728\u4e0d\u540c\u5206\u8fa8\u7387\u4e0b\u540c\u65f6\u8fdb\u884c\u5c40\u90e8\u548c\u5168\u5c40\u4fe1\u606f\u5904\u7406\u3002<\/p>\n<\/li>\n<li>\n<p>\u5728\u591a\u4e2a\u89c6\u89c9\u4efb\u52a1&#xff08;\u5982\u56fe\u50cf\u5206\u7c7b\u3001\u76ee\u6807\u68c0\u6d4b\u3001\u5b9e\u4f8b\u5206\u5272\u548c\u8bed\u4e49\u5206\u5272&#xff09;\u4e0a\u8fdb\u884c\u4e86\u5e7f\u6cdb\u7684\u5b9e\u9a8c&#xff0c;GreedyViG\u5728\u51c6\u786e\u7387\u3001\u53c2\u6570\u6570\u91cf\u548c\u8ba1\u7b97\u91cf&#xff08;GMACs&#xff09;\u65b9\u9762\u5747\u4f18\u4e8e\u73b0\u6709\u7684ViG\u3001CNN\u548cViT\u67b6\u6784\u3002<\/p>\n<\/li>\n<\/ul>\n<p class=\"img-center\"><img loading=\"lazy\" decoding=\"async\" alt=\"\u56fe\u7247\" height=\"841\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811102448-6899c4f081f7d.png\" width=\"1036\" \/><\/p>\n<p>\u8bba\u6587\u94fe\u63a5&#xff1a;<\/p>\n<p>https:\/\/ieeexplore.ieee.org\/document\/10656295<\/p>\n<\/p>\n<h2>FC-GNN: Recovering Reliable and Accurate Correspondences from Interferences<\/h2>\n<p>\u65b9\u6cd5&#xff1a;<\/p>\n<p>\u6587\u7ae0\u9996\u5148\u5b9a\u4e49\u4e86\u5339\u914d\u4f18\u5316\u95ee\u9898&#xff0c;\u5c06\u5176\u5206\u89e3\u4e3a\u5f02\u5e38\u503c\u5254\u9664\u548c\u4e0d\u51c6\u786e\u5339\u914d\u6821\u51c6\u4e24\u4e2a\u5b50\u95ee\u9898&#xff0c;\u7136\u540e\u8bbe\u8ba1\u4e86FC-GNN\u7f51\u7edc\u67b6\u6784&#xff0c;\u5229\u7528\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\u548c\u5c40\u90e8\u56fe\u50cf\u5757\u5d4c\u5165\u6765\u63d0\u53d6\u5339\u914d\u548c\u5c40\u90e8\u7eb9\u7406\u4fe1\u606f&#xff0c;\u5e76\u901a\u8fc7k-\u90bb\u57df\u81ea\u6ce8\u610f\u529b\u673a\u5236\u9010\u6b65\u6269\u5c55\u611f\u53d7\u91ce&#xff0c;\u6700\u540e\u901a\u8fc7\u4e24\u4e2a\u89e3\u7801\u5668\u5206\u522b\u8f93\u51fa\u5339\u914d\u7684\u7f6e\u4fe1\u5ea6\u5206\u6570\u548c\u6821\u51c6\u504f\u79fb\u91cf&#xff0c;\u4ee5\u5b9e\u73b0\u8054\u5408\u8fc7\u6ee4\u548c\u6821\u51c6\u3002<\/p>\n<\/p>\n<p class=\"img-center\"><img loading=\"lazy\" decoding=\"async\" alt=\"\u56fe\u7247\" height=\"396\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811102449-6899c4f164fd3.png\" width=\"1080\" \/><\/p>\n<p>\u521b\u65b0\u70b9&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u9896\u7684\u8054\u5408\u8fc7\u6ee4\u548c\u6821\u51c6&#xff08;Filtering and Calibrating, FC&#xff09;\u65b9\u6cd5&#xff0c;\u80fd\u591f\u540c\u65f6\u5254\u9664\u5177\u6709\u8f83\u5927\u8bef\u5dee\u7684\u5f02\u5e38\u503c&#xff0c;\u5e76\u4f18\u5316\u5177\u6709\u8f83\u5c0f\u8bef\u5dee\u7684\u4e0d\u51c6\u786e\u5339\u914d&#xff0c;\u4ece\u800c\u63d0\u9ad8\u5339\u914d\u7684\u53ef\u9760\u6027\u548c\u51c6\u786e\u6027\u3002<\/p>\n<\/li>\n<li>\n<p>\u6784\u5efa\u4e86\u57fa\u4e8e\u6ce8\u610f\u529b\u673a\u5236\u7684\u56fe\u795e\u7ecf\u7f51\u7edc&#xff08;FC-GNN&#xff09;&#xff0c;\u901a\u8fc7\u7ed3\u5408\u4e0a\u4e0b\u6587\u4fe1\u606f\u548c\u5c40\u90e8\u56fe\u50cf\u7eb9\u7406&#xff0c;\u6709\u6548\u6574\u5408\u5c40\u90e8\u548c\u5168\u5c40\u4fe1\u606f&#xff0c;\u4ee5\u51cf\u5c11\u5339\u914d\u4e0d\u786e\u5b9a\u6027&#xff0c;\u5e76\u964d\u4f4e\u8ba1\u7b97\u590d\u6742\u5ea6\u3002<\/p>\n<\/li>\n<li>\n<p>\u901a\u8fc7\u5b9e\u9a8c\u9a8c\u8bc1\u4e86\u8be5\u65b9\u6cd5\u5728\u591a\u79cd\u5339\u914d\u6d41\u7a0b\u548c\u4e0d\u540c\u4efb\u52a1\u4e2d\u7684\u663e\u8457\u6027\u80fd\u63d0\u5347&#xff0c;\u8bc1\u660e\u4e86\u5176\u4f5c\u4e3a\u56fe\u50cf\u5339\u914d\u6807\u51c6\u4f18\u5316\u7ec4\u4ef6\u7684\u5de8\u5927\u6f5c\u529b\u3002<\/p>\n<\/li>\n<\/ul>\n<p class=\"img-center\"><img loading=\"lazy\" decoding=\"async\" alt=\"\u56fe\u7247\" height=\"588\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811102449-6899c4f1bd1c1.png\" width=\"1080\" \/><\/p>\n<p>\u8bba\u6587\u94fe\u63a5&#xff1a;<\/p>\n<p>https:\/\/ieeexplore.ieee.org\/document\/10656277<\/p>\n<hr \/>\n<p style=\"text-align:center\">\u672c\u6587\u9009\u81eagongzhonghao<span style=\"color:#fe2c24\">\u3010\u56fe\u7075\u5b66\u672fSCI\u8bba\u6587\u8f85\u5bfc\u3011<\/span><\/p>\n<p style=\"text-align:center\"><span 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