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                <h2 id="1">1. 量化<a class="headerlink" href="#1" title="Permanent link">#</a></h2>
<h3 id="11">1.1 图象分类<a class="headerlink" href="#11" title="Permanent link">#</a></h3>
<p>数据集：ImageNet1000类</p>
<table>
<thead>
<tr>
<th align="center">Model</th>
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<th align="center">压缩方法</th>
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<th align="center">Top-1/Top-5</th>
<th align="center">模型大小（MB）</th>
B
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<th align="center">下载</th>
B
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</tr>
</thead>
<tbody>
<tr>
B
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<td align="center">MobileNetV1</td>
<td align="center">-</td>
B
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<td align="center">70.99%/89.68%</td>
B
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<td align="center">xx</td>
B
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<td align="center"><a href="">下载链接</a></td>
B
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</tr>
<tr>
B
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<td align="center">MobileNetV1</td>
<td align="center">quant_psot</td>
B
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<td align="center">xx%/xx%</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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</tr>
<tr>
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<td align="center">MobileNetV1</td>
<td align="center">quant_aware</td>
B
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<td align="center">xx%/xx%</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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</tr>
<tr>
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<td align="center">MobileNetV2</td>
<td align="center">-</td>
B
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<td align="center">72.15%/90.65%</td>
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<td align="center">xx</td>
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<td align="center"><a href="">下载链接</a></td>
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</tr>
<tr>
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<td align="center">MobileNetV2</td>
<td align="center">quant_post</td>
B
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<td align="center">xx%/xx%</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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</tr>
<tr>
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<td align="center">MobileNetV2</td>
<td align="center">quant_aware</td>
B
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<td align="center">xx%/xx%</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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</tr>
<tr>
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<td align="center">ResNet50</td>
<td align="center">-</td>
B
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<td align="center">76.50%/93.00%</td>
B
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<td align="center">xx</td>
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<td align="center"><a href="">下载链接</a></td>
B
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</tr>
<tr>
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<td align="center">ResNet50</td>
<td align="center">quant_post</td>
B
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<td align="center">xx%/xx%</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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</tr>
<tr>
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<td align="center">ResNet50</td>
<td align="center">quant_aware</td>
B
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<td align="center">xx%/xx%</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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</tr>
</tbody>
</table>
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<h3 id="12">1.2 目标检测<a class="headerlink" href="#12" title="Permanent link">#</a></h3>
B
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<p>数据集：COCO 2017 </p>
<table>
<thead>
<tr>
<th align="center">Model</th>
B
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<th align="center">压缩方法</th>
B
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<th align="center">Image/GPU</th>
B
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<th align="center">输入608 Box AP</th>
<th align="center">输入416 Box AP</th>
<th align="center">输入320 Box AP</th>
B
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<th align="center">模型大小(MB)</th>
B
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<th align="center">下载</th>
B
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</tr>
</thead>
<tbody>
<tr>
B
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<td align="center">MobileNet-V1-YOLOv3</td>
<td align="center">-</td>
B
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<td align="center">8</td>
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<td align="center">29.3</td>
<td align="center">29.3</td>
<td align="center">27.1</td>
B
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<td align="center">xx</td>
B
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<td align="center"><a href="">下载链接</a></td>
B
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</tr>
<tr>
B
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<td align="center">MobileNet-V1-YOLOv3</td>
<td align="center">quant_post</td>
B
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<td align="center">8</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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</tr>
<tr>
B
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<td align="center">MobileNet-V1-YOLOv3</td>
<td align="center">quant_aware</td>
B
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<td align="center">8</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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</tr>
<tr>
<td align="center">R50-dcn-YOLOv3 FP32</td>
B
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<td align="center">-</td>
B
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<td align="center">8</td>
<td align="center">41.4</td>
B
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<td align="center">xx</td>
<td align="center">xx</td>
B
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<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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</tr>
<tr>
B
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<td align="center">R50-dcn-YOLOv3</td>
<td align="center">quant_post</td>
B
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<td align="center">8</td>
<td align="center">xx</td>
B
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<td align="center">xx</td>
<td align="center">xx</td>
B
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<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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</tr>
<tr>
B
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<td align="center">R50-dcn-YOLOv3</td>
<td align="center">quant_aware</td>
B
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<td align="center">8</td>
<td align="center">xx</td>
B
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<td align="center">xx</td>
<td align="center">xx</td>
B
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<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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</tr>
</tbody>
</table>
B
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<p>数据集：WIDER-FACE</p>
B
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<table>
<thead>
<tr>
<th align="center">Model</th>
B
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<th align="center">压缩方法</th>
B
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<th align="center">Image/GPU</th>
B
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377 378 379 380 
<th align="center">输入尺寸</th>
<th align="center">Easy/Medium/Hard</th>
<th align="center">模型大小（MB）</th>
<th align="center">下载</th>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
381 382 383 384 
</tr>
</thead>
<tbody>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
385 386 
<td align="center">BlazeFace</td>
<td align="center">-</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
387 
<td align="center">8</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
388 389 
<td align="center">640</td>
<td align="center">0.915/0.892/0.797</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
390 
<td align="center">xx</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
391 
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
392 393 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
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394 395 
<td align="center">BlazeFace</td>
<td align="center">quant_post</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
396 397 398 399 400 
<td align="center">8</td>
<td align="center">640</td>
<td align="center">xx/xx/xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
401 402 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
403 404 
<td align="center">BlazeFace</td>
<td align="center">quant_aware</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
405 
<td align="center">8</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
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406 407 408 409 
<td align="center">640</td>
<td align="center">xx/xx/xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
410 411 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
412 413 
<td align="center">BlazeFace-Lite</td>
<td align="center">-</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
414 
<td align="center">8</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
415 
<td align="center">640</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
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416 417 418 
<td align="center">0.909/0.885/0.781</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
419 420 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
421 422 
<td align="center">BlazeFace-Lite</td>
<td align="center">quant_post</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
423 
<td align="center">8</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
424 
<td align="center">640</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
425 426 427 
<td align="center">xx/xx/xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
428 429 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
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430 431 
<td align="center">BlazeFace-Lite</td>
<td align="center">quant_aware</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
432 433 434 435 436 
<td align="center">8</td>
<td align="center">640</td>
<td align="center">xx/xx/xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
437 438 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
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439 440 
<td align="center">BlazeFace-NAS</td>
<td align="center">-</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
441 442 443 444 445 
<td align="center">8</td>
<td align="center">640</td>
<td align="center">0.837/0.807/0.658</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
446 447 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
448 449 
<td align="center">BlazeFace-NAS</td>
<td align="center">quant_post</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
450 451 452 453 454 
<td align="center">8</td>
<td align="center">640</td>
<td align="center">xx/xx/xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
455 456 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
457 458 
<td align="center">BlazeFace-NAS</td>
<td align="center">quant_aware</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
459 460 461 462 463 
<td align="center">8</td>
<td align="center">640</td>
<td align="center">xx/xx/xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
464 465 466 467 468 469 470 471 472 
</tr>
</tbody>
</table>
<h3 id="13">1.3 图像分割<a class="headerlink" href="#13" title="Permanent link">#</a></h3>
<p>数据集：Cityscapes</p>
<table>
<thead>
<tr>
<th align="center">Model</th>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
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473 
<th align="center">压缩方法</th>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
474 475 476 
<th align="center">mIoU</th>
<th align="center">模型大小（MB）</th>
<th align="center">下载</th>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
477 478 479 480 481 
</tr>
</thead>
<tbody>
<tr>
<td align="center">DeepLabv3+/MobileNetv1</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
482 
<td align="center">-</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
483 484 485 
<td align="center">63.26</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
486 487 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
488 489 
<td align="center">DeepLabv3+/MobileNetv1</td>
<td align="center">quant_post</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
490 491 492 
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
493 494 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
495 496 
<td align="center">DeepLabv3+/MobileNetv1</td>
<td align="center">quant_aware</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
497 498 499 
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
500 501 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
502 
<td align="center">DeepLabv3+/MobileNetv2</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
503 
<td align="center">-</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
504 505 506 
<td align="center">69.81</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
507 508 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
509 510 
<td align="center">DeepLabv3+/MobileNetv2</td>
<td align="center">quant_post</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
511 512 513 514 515 
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
516 517 
<td align="center">DeepLabv3+/MobileNetv2</td>
<td align="center">quant_aware</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
518 519 520 
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
521 522 523 524 525 526 527 528 529 530 
</tr>
</tbody>
</table>
<h2 id="2">2. 剪枝<a class="headerlink" href="#2" title="Permanent link">#</a></h2>
<h3 id="21">2.1 图像分类<a class="headerlink" href="#21" title="Permanent link">#</a></h3>
<p>数据集：ImageNet1000类</p>
<table>
<thead>
<tr>
<th align="center">Model</th>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
531 
<th align="center">压缩方法</th>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
532 
<th align="center">Top-1/Top-5</th>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
533 534 535 
<th align="center">模型大小（MB）</th>
<th align="center">FLOPs</th>
<th align="center">下载</th>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
536 537 538 539 540 
</tr>
</thead>
<tbody>
<tr>
<td align="center">MobileNetV1</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
541 
<td align="center">-</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
542 543 544 545 
<td align="center">70.99%/89.68%</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
546 547 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
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548 549 
<td align="center">MobileNetV1</td>
<td align="center">uniform -xx%</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
550 551 552 553 
<td align="center">xx%/xx%</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
554 555 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
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556 557 
<td align="center">MobileNetV1</td>
<td align="center">sensitive -xx%</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
558 559 560 561 
<td align="center">xx%/xx%</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
562 563 564 
</tr>
<tr>
<td align="center">MobileNetV2</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
565 
<td align="center">-</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
566 567 568 569 
<td align="center">72.15%/90.65%</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
570 571 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
572 573 
<td align="center">MobileNetV2</td>
<td align="center">uniform -xx%</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
574 575 576 577 
<td align="center">xx%/xx%</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
578 579 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
580 581 
<td align="center">MobileNetV2</td>
<td align="center">sensitive -xx%</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
582 583 584 585 
<td align="center">xx%/xx%</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
586 587 588 
</tr>
<tr>
<td align="center">ResNet34</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
589 
<td align="center">-</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
590 591 592 593 
<td align="center">74.57%/92.14%</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
594 595 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
596 597 
<td align="center">ResNet34</td>
<td align="center">uniform -xx%</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
598 
<td align="center">xx%/xx%</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
599 600 
<td align="center">xx</td>
<td align="center">xx</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
601 
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
602 603 
</tr>
<tr>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
604 605 
<td align="center">ResNet34</td>
<td align="center">auto -xx%</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
606 
<td align="center">xx%/xx%</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
607 608 
<td align="center">xx</td>
<td align="center">xx</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
609 
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
610 611 612 613 614 615 616 617 618 
</tr>
</tbody>
</table>
<h3 id="22">2.2 目标检测<a class="headerlink" href="#22" title="Permanent link">#</a></h3>
<p>数据集：Pasacl VOC &amp; COCO 2017</p>
<table>
<thead>
<tr>
<th align="center">Model</th>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
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619 
<th>压缩方法</th>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
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620 621 
<th align="center">数据集</th>
<th align="center">Image/GPU</th>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
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622 623 624 625 626 627 
<th align="center">输入608 mAP</th>
<th align="center">输入416 mAP</th>
<th align="center">输入320  mAP</th>
<th align="center">模型大小（MB）</th>
<th align="center">FLOPs</th>
<th align="center">下载</th>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
628 629 630 631 632 
</tr>
</thead>
<tbody>
<tr>
<td align="center">MobileNet-V1-YOLOv3</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
633 
<td>-</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
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634 635 
<td align="center">Pasacl VOC</td>
<td align="center">8</td>
B
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636 637 638 639 640 641 
<td align="center">76.2</td>
<td align="center">76.7</td>
<td align="center">75.3</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
baiyfbupt 已提交
642 643 
</tr>
<tr>
B
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644 645 
<td align="center">MobileNet-V1-YOLOv3</td>
<td>uniform  -xx%</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
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646 
<td align="center">Pasacl VOC</td>
B
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647 648 649 650 651 652 653 
<td align="center">8</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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654 655 656 
</tr>
<tr>
<td align="center">MobileNet-V1-YOLOv3</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
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657 
<td>-</td>
B
Deployed 9bcff00 with MkDocs version: 1.0.4  
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658 
<td align="center">COCO</td>
B
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659 660 661 662 663 664 665 
<td align="center">8</td>
<td align="center">29.3</td>
<td align="center">29.3</td>
<td align="center">27.1</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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666 667 
</tr>
<tr>
B
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668 669 
<td align="center">MobileNet-V1-YOLOv3</td>
<td>uniform -xx%</td>
B
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670 
<td align="center">COCO</td>
B
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671 672 673 674 675 676 677 
<td align="center">8</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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678 679 680 
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<tr>
<td align="center">R50-dcn-YOLOv3</td>
B
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681 
<td>-</td>
B
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682 
<td align="center">COCO</td>
B
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683 684 
<td align="center">8</td>
<td align="center">41.4</td>
B
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685 686 
<td align="center">xx</td>
<td align="center">xx</td>
B
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687 688 
<td align="center">xx</td>
<td align="center">xx</td>
B
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689 
<td align="center"><a href="">下载链接</a></td>
B
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690 691 
</tr>
<tr>
B
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692 693 
<td align="center">R50-dcn-YOLOv3</td>
<td>uniform -xx%</td>
B
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694 695 696 
<td align="center">COCO</td>
<td align="center">8</td>
<td align="center">xx</td>
B
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697 698 
<td align="center">xx</td>
<td align="center">xx</td>
B
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699 700 
<td align="center">xx</td>
<td align="center">xx</td>
B
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701 
<td align="center"><a href="">下载链接</a></td>
B
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702 703 704 705 706 707 708 709 710 
</tr>
</tbody>
</table>
<h3 id="23">2.3 图像分割<a class="headerlink" href="#23" title="Permanent link">#</a></h3>
<p>数据集：Cityscapes</p>
<table>
<thead>
<tr>
<th align="center">Model</th>
B
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711 
<th align="center">压缩方法</th>
B
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712 713 714 715 
<th align="center">mIoU</th>
<th align="center">模型大小（MB）</th>
<th align="center">FLOPs</th>
<th align="center">下载</th>
B
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716 717 718 719 720 
</tr>
</thead>
<tbody>
<tr>
<td align="center">DeepLabv3+/MobileNetv2</td>
B
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721 
<td align="center">-</td>
B
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722 723 724 725 
<td align="center">69.81</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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726 727 
</tr>
<tr>
B
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728 729 
<td align="center">DeepLabv3+/MobileNetv2</td>
<td align="center">prune -xx%</td>
B
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730 
<td align="center">xx</td>
B
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<td align="center">xx</td>
<td align="center">xx</td>
B
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733 
<td align="center"><a href="">下载链接</a></td>
B
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734 735 736 737 738 739 740 741 742 743 
</tr>
</tbody>
</table>
<h2 id="3">3. 蒸馏<a class="headerlink" href="#3" title="Permanent link">#</a></h2>
<h3 id="31">3.1 图象分类<a class="headerlink" href="#31" title="Permanent link">#</a></h3>
<p>数据集：ImageNet1000类</p>
<table>
<thead>
<tr>
<th align="center">Model</th>
B
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<th align="center">蒸馏 teacher</th>
B
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745 
<th align="center">Top-1/Top-5</th>
B
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746 
<th align="center">下载</th>
B
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747 748 749 750 751 
</tr>
</thead>
<tbody>
<tr>
<td align="center">MobileNetV1</td>
B
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752 
<td align="center">-</td>
B
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<td align="center">70.99%/89.68%</td>
<td align="center"><a href="http://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV1_pretrained.tar">下载链接</a></td>
</tr>
<tr>
B
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757 758 
<td align="center">MobileNetV1</td>
<td align="center">ResNet50_vd<sup><a href="#trans1">1</a></sup></td>
B
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759 760 
<td align="center">72.79%/90.69%</td>
<td align="center"><a href="">下载链接</a></td>
B
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761 762 763 
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<tr>
<td align="center">MobileNetV2</td>
B
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764 
<td align="center">-</td>
B
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<td align="center">72.15%/90.65%</td>
<td align="center"><a href="">下载链接</a></td>
</tr>
<tr>
B
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769 770 
<td align="center">MobileNetV2</td>
<td align="center">ResNet50_vd<sup><a href="#trans1">1</a></sup></td>
B
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771 772 
<td align="center">74.30%/91.52%</td>
<td align="center"><a href="">下载链接</a></td>
B
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773 774 775 
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<tr>
<td align="center">ResNet50</td>
B
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776 
<td align="center">-</td>
B
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777 778 779 780 
<td align="center">76.50%/93.00%</td>
<td align="center"><a href="">下载链接</a></td>
</tr>
<tr>
B
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781 782 
<td align="center">ResNet50</td>
<td align="center">ResNet101<sup><a href="#trans2">2</a></sup></td>
B
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783 784 
<td align="center">77.40%/93.48%</td>
<td align="center"><a href="">下载链接</a></td>
B
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785 786 787 788 789 790 791 
</tr>
</tbody>
</table>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p><a name="trans1">  [1]</a>：<a href="https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar">ResNet50_vd</a>预训练模型Top-1/Top-5准确率分别为79.12%/94.44%</p>
<p>带_vd后缀代表开启了Mixup训练，Mixup相关介绍参考<a href="https://arxiv.org/abs/1710.09412">mixup: Beyond Empirical Risk Minimization</a></p>
B
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792 
<p><a name="trans2">[2]</a>：<a href="https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar">ResNet101</a>预训练模型Top-1/Top-5准确率分别为77.56%/93.64%</p>
B
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</div>
<h3 id="32">3.2 目标检测<a class="headerlink" href="#32" title="Permanent link">#</a></h3>
<p>数据集：Pasacl VOC &amp; COCO 2017</p>
<table>
<thead>
<tr>
<th align="center">Model</th>
B
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800 
<th align="center">蒸馏 teacher</th>
B
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801 802 
<th align="center">数据集</th>
<th align="center">Image/GPU</th>
B
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803 804 805 806 
<th align="center">输入640 mAP</th>
<th align="center">输入416 mAP</th>
<th align="center">输入320 mAP</th>
<th align="center">下载链接</th>
B
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</thead>
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<tr>
<td align="center">MobileNet-V1-YOLOv3</td>
B
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812 
<td align="center">-</td>
B
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<td align="center">Pasacl VOC</td>
<td align="center">16</td>
B
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815 816 817 818 
<td align="center">76.2</td>
<td align="center">76.7</td>
<td align="center">75.3</td>
<td align="center"><a href="">下载链接</a></td>
B
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819 820 
</tr>
<tr>
B
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<td align="center">MobileNet-V1-YOLOv3</td>
<td align="center">ResNet34-YOLOv3-VOC<sup><a href="#trans3">3</a></sup></td>
B
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<td align="center">Pasacl VOC</td>
B
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<td align="center">16</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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829 830 831 
</tr>
<tr>
<td align="center">MobileNet-V1-YOLOv3</td>
B
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832 
<td align="center">-</td>
B
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833 
<td align="center">COCO</td>
B
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834 835 836 837 838 
<td align="center">16</td>
<td align="center">29.3</td>
<td align="center">29.3</td>
<td align="center">27.1</td>
<td align="center"><a href="">下载链接</a></td>
B
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839 840 
</tr>
<tr>
B
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841 842 
<td align="center">MobileNet-V1-YOLOv3</td>
<td align="center">ResNet34-YOLOv3-COCO<sup><a href="#trans4">4</a></sup></td>
B
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843 
<td align="center">COCO</td>
B
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844 845 846 847 848 
<td align="center">16</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center"><a href="">下载链接</a></td>
B
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849 850 851 852 853 
</tr>
</tbody>
</table>
<div class="admonition note">
<p class="admonition-title">Note</p>
B
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854 855 
<p><a name="trans3">[3]</a>：<a href="">ResNet34-YOLOv3-VOC</a>预训练模型的Box AP为82.6</p>
<p><a name="trans4">[4]</a>：<a href="">ResNet34-YOLOv3-COCO</a>预训练模型的Box AP为36.2</p>
B
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856 857 858 859 860 861 862 863 
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