{"id":123563,"date":"2026-11-07T17:24:56","date_gmt":"2026-11-07T09:24:56","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/123563.html"},"modified":"2026-11-07T17:24:56","modified_gmt":"2026-11-07T09:24:56","slug":"tpa%ef%bc%9a%e7%94%a8%e9%ab%98%e7%bd%ae%e4%bf%a1%e9%94%9a%e7%82%b9%e6%9e%84%e5%bb%ba%e7%b1%bb%e5%88%ab%e8%a7%86%e8%a7%89%e5%8e%9f%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/123563.html","title":{"rendered":"TPA\uff1a\u7528\u9ad8\u7f6e\u4fe1\u951a\u70b9\u6784\u5efa\u7c7b\u522b\u89c6\u89c9\u539f\u578b"},"content":{"rendered":"

\u539f\u8bba\u6587：Test-Time Prototype Adaptation for Open-Vocabulary Semantic Segmentation<\/p>\n

\"TPA\u6846\u67b6\u56fe\"<\/p>\n

TPA \u5148\u7528\u5bbf\u4e3b\u5206\u5272\u6a21\u578b\u5728\u4e00\u6279\u65e0\u6807\u6ce8\u90e8\u7f72\u57df\u56fe\u50cf\u4e0a\u6311\u51fa\u53ef\u9760\u4f4d\u7f6e，\u518d\u7528\u51bb\u7ed3\u7684 DINOv2 ViT-B\/14 \u63d0\u53d6\u8fd9\u4e9b\u4f4d\u7f6e\u7684\u7279\u5f81，\u6309\u7c7b\u522b\u6c47\u6210\u539f\u578b\u3002\u4e4b\u540e\u6bcf\u5f20\u56fe\u90fd\u6709\u4e24\u8def\u5206\u7c7b\u5206\u6570：\u5bbf\u4e3b\u539f\u672c\u7684\u9884\u6d4b，\u4ee5\u53ca\u50cf\u7d20\u548c\u7c7b\u522b\u539f\u578b\u7684\u76f8\u4f3c\u5ea6\u3002TPA \u5728\u8f93\u51fa\u7aef\u5408\u5e76\u8fd9\u4e24\u8def\u5206\u6570\u3002<\/p>\n

\u5efa\u5e93：\u7c7b\u522b\u5f97\u5206\u6700\u9ad8，\u8fd8\u8981\u8d85\u8fc7\u9608\u503c<\/h3>\n

\u5bf9\u6bcf\u5f20\u5efa\u5e93\u56fe\u50cf，\u5148\u770b\u5bbf\u4e3b\u7ed9\u6bcf\u4e2a\u4f4d\u7f6e\u7684\u7c7b\u522b\u6982\u7387\u3002\u67d0\u4e2a\u4f4d\u7f6e\u8981\u6210\u4e3a\u7c7b\u522b <\/p>\n

c<\/p>\n

c<\/p>\n

<\/span><\/span>c<\/span><\/span><\/span><\/span><\/span> \u7684\u951a\u70b9，<\/p>\n

c<\/p>\n

c<\/p>\n

<\/span><\/span>c<\/span><\/span><\/span><\/span><\/span> \u5fc5\u987b\u662f\u8be5\u4f4d\u7f6e\u6982\u7387\u6700\u9ad8\u7684\u7c7b\u522b，\u4e14\u6982\u7387\u4e25\u683c\u5927\u4e8e <\/p>\n

2<\/p>\n

\/<\/p>\n

C<\/p>\n

2\/C<\/p>\n

<\/span><\/span>2\/<\/span>C<\/span><\/span><\/span><\/span><\/span>，\u5176\u4e2d <\/p>\n

C<\/p>\n

C<\/p>\n

<\/span><\/span>C<\/span><\/span><\/span><\/span><\/span> \u662f\u5019\u9009\u7c7b\u522b\u6570\u3002\u8fd9\u4e2a\u9608\u503c\u662f\u5747\u5300\u731c\u6d4b\u6982\u7387 <\/p>\n

1<\/p>\n

\/<\/p>\n

C<\/p>\n

1\/C<\/p>\n

<\/span><\/span>1\/<\/span>C<\/span><\/span><\/span><\/span><\/span> \u7684\u4e24\u500d\u3002\u67d0\u7c7b\u5408\u683c\u4f4d\u7f6e\u5c11\u4e8e <\/p>\n

K<\/p>\n

min<\/p>\n

\u2061<\/p>\n

=<\/p>\n

5<\/p>\n

K_{\\\\min}=5<\/p>\n

<\/span><\/span>K<\/span><\/span>m<\/span>i<\/span>n<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span>5<\/span><\/span><\/span><\/span><\/span> \u65f6，\u76f4\u63a5\u8df3\u8fc7\u8fd9\u6279\u4f4d\u7f6e\u3002<\/p>\n

\u628a\u5408\u683c\u4f4d\u7f6e\u5bf9\u5e94\u7684 DINO \u7279\u5f81\u6309\u7c7b\u522b\u8de8\u56fe\u7d2f\u52a0，\u6700\u540e\u5c06\u6bcf\u7c7b\u7684\u7d2f\u52a0\u5411\u91cf\u505a L2 \u5f52\u4e00\u5316，\u5f97\u5230\u4e00\u4e2a\u5355\u4f4d\u957f\u5ea6\u7684\u89c6\u89c9\u539f\u578b\u3002\u4e00\u6b21\u8bef\u5224\u53ef\u80fd\u6df7\u8fdb\u539f\u578b，\u8de8\u56fe\u7d2f\u52a0\u53ef\u4ee5\u7a00\u91ca\u5076\u53d1\u566a\u58f0\u3002\u82e5\u5bbf\u4e3b\u6301\u7eed\u628a\u540c\u4e00\u79cd\u5916\u89c2\u8ba4\u9519，\u9519\u8bef\u4e5f\u53ef\u80fd\u968f\u7d2f\u52a0\u4fdd\u7559\u4e0b\u6765\u3002<\/p>\n

\u63a8\u7406：\u7528\u539f\u578b\u5206\u6570\u4fee\u6b63\u5bbf\u4e3b\u8f93\u51fa<\/h3>\n

\u5bf9\u5f85\u5206\u5272\u56fe\u50cf，\u8ba1\u7b97\u6bcf\u4e2a\u4f4d\u7f6e\u7684\u5f52\u4e00\u5316 DINO \u7279\u5f81\u4e0e\u5404\u7c7b\u522b\u539f\u578b\u7684\u4f59\u5f26\u76f8\u4f3c\u5ea6\u3002DINO \u7279\u5f81\u6709\u5171\u540c\u65b9\u5411，\u539f\u59cb\u76f8\u4f3c\u5ea6\u53ef\u80fd\u666e\u904d\u504f\u6b63\u3002TPA \u5728\u540c\u4e00\u50cf\u7d20\u4e0a\u51cf\u53bb\u5df2\u6709\u539f\u578b\u7c7b\u522b\u7684\u5e73\u5747\u76f8\u4f3c\u5ea6，\u5f97\u5230\u76f8\u5bf9\u5206\u6570 <\/p>\n

q<\/p>\n

~<\/p>\n

c<\/p>\n

\\\\tilde q_c<\/p>\n

<\/span><\/span><\/span>q<\/span><\/span><\/span>~<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>c<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>\u3002\u6ca1\u6709\u539f\u578b\u7684\u7c7b\u522b，\u5176\u4fee\u6b63\u9879\u7f6e\u96f6\u3002<\/p>\n

<\/p>\n

\u2113<\/p>\n

c<\/p>\n

=<\/p>\n

log<\/p>\n

\u2061<\/p>\n

p<\/p>\n

c<\/p>\n

+<\/p>\n

(<\/p>\n

1<\/p>\n

\u2212<\/p>\n

\u03b1<\/p>\n

)<\/p>\n

\u03bb
\n \u2009<\/p>\n

q<\/p>\n

~<\/p>\n

c<\/p>\n

\\\\ell_c = \\\\log p_c + (1-\\\\alpha)\\\\lambda\\\\,\\\\tilde q_c<\/p>\n

<\/span><\/span>\u2113<\/span><\/span>c<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span>log<\/span><\/span><\/span>p<\/span><\/span>c<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>+<\/span><\/span><\/span><\/span>(<\/span>1<\/span><\/span>\u2212<\/span><\/span><\/span><\/span>\u03b1<\/span>)<\/span>\u03bb<\/span><\/span><\/span>q<\/span><\/span><\/span>~<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>c<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

<\/p>\n

p<\/p>\n

c<\/p>\n

p_c<\/p>\n

<\/span><\/span>p<\/span><\/span>c<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> \u662f\u5bbf\u4e3b\u7684\u7c7b\u522b\u6982\u7387\u3002\u8bba\u6587\u7528 <\/p>\n

\u03b1<\/p>\n

=<\/p>\n

0.5<\/p>\n

\\\\alpha=0.5<\/p>\n

<\/span><\/span>\u03b1<\/span><\/span>=<\/span><\/span><\/span><\/span>0.5<\/span><\/span><\/span><\/span><\/span>\u3001<\/p>\n

\u03bb<\/p>\n

=<\/p>\n

5<\/p>\n

\\\\lambda=5<\/p>\n

<\/span><\/span>\u03bb<\/span><\/span>=<\/span><\/span><\/span><\/span>5<\/span><\/span><\/span><\/span><\/span>，\u53d6\u878d\u5408\u5206\u6570\u6700\u9ad8\u7684\u7c7b\u522b\u3002\u8fd9\u91cc\u7684\u89c6\u89c9\u4f20\u64ad\u662f\u628a\u8de8\u56fe\u79ef\u7d2f\u7684\u7c7b\u522b\u4fe1\u606f\u901a\u8fc7\u539f\u578b\u76f8\u4f3c\u5ea6\u4f20\u7ed9\u65b0\u56fe\u50cf\u7684\u50cf\u7d20\u3002TPA \u8bfb\u53d6\u5bbf\u4e3b\u7684\u8f93\u51fa\u5373\u53ef\u63a5\u5165，\u5bbf\u4e3b\u548c DINO \u7684\u53c2\u6570\u5168\u7a0b\u51bb\u7ed3\u3002<\/p>\n

\u5b9e\u9a8c\u8986\u76d6\u4e0e\u7ec4\u5408\u65b9\u5f0f<\/h3>\n

\u4f5c\u8005\u628a TPA \u63a5\u5728 SCLIP\u3001ClearCLIP\u3001NACLIP\u3001ProxyCLIP \u548c Trident \u4e0a，\u8986\u76d6\u4e09\u79cd ViT \u89c4\u683c\u548c\u516b\u4e2a\u8bc4\u6d4b\u8bbe\u7f6e\u3002\u7c7b\u522b\u89c4\u6a21\u6709\u8de8\u5ea6：VOC \u662f 20\/21 \u7c7b，Context \u662f 59\/60 \u7c7b，\u4e5f\u6709 ADE20K \u548c COCO-Stuff \u8fd9\u6837\u7c7b\u522b\u66f4\u591a\u7684\u8bbe\u7f6e\u3002\u5efa\u5e93\u7528\u540c\u6d4b\u8bd5\u57df\u3001\u9690\u85cf\u6807\u7b7e\u7684\u56fe\u50cf\u3002Trident B\/16 \u7684\u5efa\u5e93\u89c4\u6a21\u5b9e\u9a8c\u4e2d，\u591a\u6570\u57fa\u51c6\u5728\u7ea6 10% \u7684\u9002\u914d\u6c60\u65f6\u8d8b\u4e8e\u9971\u548c，Context59 \u5728\u4e4b\u540e\u8fd8\u6709\u5c0f\u5e45\u6536\u76ca\u3002<\/p>\n

FSA \u5728\u5355\u56fe\u5185\u90e8\u65e0\u68af\u5ea6\u5730\u8c03\u8282\u6ce8\u610f\u529b\u3002MLMP \u7528\u591a\u5c42\u71b5\u6700\u5c0f\u5316\u5728\u63a8\u7406\u65f6\u66f4\u65b0\u6a21\u578b\u53c2\u6570\u3002\u4e24\u8005\u53ef\u4ee5\u5148\u5904\u7406\u5f53\u524d\u56fe\u50cf，\u518d\u628a\u8f93\u51fa\u4ea4\u7ed9 TPA \u505a\u8de8\u56fe\u539f\u578b\u4fee\u6b63\u3002\u8bba\u6587\u8868 6 \u4e2d，ProxyCLIP B\/16 \u5355\u52a0 TPA \u5e73\u5747\u63d0\u5347 2.0 mIoU \u70b9，\u4e0e FSA \u53e0\u52a0\u63d0\u5347 3.1 \u70b9\u3002NACLIP L\/14 \u4e0e MLMP \u53e0\u52a0\u7684 7.5 \u70b9\u6765\u81ea\u8be5\u8868\u5355\u72ec\u91c7\u7528\u7684 MLMP \u8bc4\u6d4b\u534f\u8bae\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u539f\u8bba\u6587：Test-Time Prototype Adaptation for Open-Vocabulary Semantic Segmentation TPA \u5148\u7528\u5bbf\u4e3b\u5206\u5272\u6a21\u578b\u5728\u4e00\u6279\u65e0\u6807\u6ce8\u90e8\u7f72\u57df\u56fe\u50cf\u4e0a\u6311\u51fa\u53ef\u9760\u4f4d\u7f6e，\u518d\u7528\u51bb\u7ed3\u7684 DINOv2 ViT-B\/14 \u63d0\u53d6\u8fd9\u4e9b\u4f4d\u7f6e\u7684\u7279\u5f81，\u6309\u7c7b\u522b\u6c47\u6210\u539f\u578b\u3002\u4e4b\u540e\u6bcf\u5f20\u56fe\u90fd\u6709\u4e24\u8def\u5206\u7c7b\u5206\u6570：\u5bbf\u4e3b\u539f\u672c\u7684\u9884\u6d4b，\u4ee5\u53ca\u50cf\u7d20\u548c\u7c7b\u522b\u539f\u578b\u7684\u76f8\u4f3c\u5ea6\u3002TPA \u5728\u8f93\u51fa\u7aef\u5408\u5e76\u8fd9\u4e24\u8def\u5206\u6570\u3002
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