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--- a/index.html
+++ b/index.html
@@ -438,5 +438,5 @@

 <!--
 MkDocs version : 1.0.4
-Build Date UTC : 2020-01-07 11:24:00
+Build Date UTC : 2020-01-08 03:41:29
 -->
--- a/model_zoo/index.html
+++ b/model_zoo/index.html
@@ -64,7 +64,7 @@
        
            <li><a class="toctree-l3" href="#11">1.1 量化</a></li>
        
-            <li><a class="toctree-l3" href="#12">1.2 剪枝</a></li>
+            <li><a class="toctree-l3" href="#12">1.2 剪裁</a></li>
        
            <li><a class="toctree-l3" href="#13">1.3 蒸馏</a></li>
        
@@ -77,7 +77,7 @@
        
            <li><a class="toctree-l3" href="#21">2.1 量化</a></li>
        
-            <li><a class="toctree-l3" href="#22">2.2 剪枝</a></li>
+            <li><a class="toctree-l3" href="#22">2.2 剪裁</a></li>
        
            <li><a class="toctree-l3" href="#23">2.3 蒸馏</a></li>
        
@@ -90,7 +90,7 @@
        
            <li><a class="toctree-l3" href="#31">3.1 量化</a></li>
        
-            <li><a class="toctree-l3" href="#32">3.2 剪枝</a></li>
+            <li><a class="toctree-l3" href="#32">3.2 剪裁</a></li>
        
        </ul>
    
@@ -279,7 +279,7 @@
 </tr>
 </tbody>
 </table>
-<h3 id="12">1.2 剪枝<a class="headerlink" href="#12" title="Permanent link">#</a></h3>
+<h3 id="12">1.2 剪裁<a class="headerlink" href="#12" title="Permanent link">#</a></h3>
 <table>
 <thead>
 <tr>
@@ -287,9 +287,7 @@
 <th align="center">压缩方法</th>
 <th align="center">Top-1/Top-5 Acc</th>
 <th align="center">模型大小（MB）</th>
-<th align="center">FLOPs（M）</th>
-<th align="center">arm时延（ms）</th>
-<th align="center">P4时延（ms）</th>
+<th align="center">GFLOPs</th>
 <th align="center">下载</th>
 </tr>
 </thead>
@@ -298,90 +296,72 @@
 <td align="center">MobileNetV1</td>
 <td align="center">-</td>
 <td align="center">70.99%/89.68%</td>
-<td align="center">xx</td>
-<td align="center">xx</td>
-<td align="center">xx</td>
-<td align="center">xx</td>
+<td align="center">17</td>
+<td align="center">1.11</td>
 <td align="center"><a href="">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">MobileNetV1</td>
-<td align="center">uniform -xx%</td>
-<td align="center">xx%/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">uniform -50%</td>
+<td align="center">69.4%/88.66%</td>
+<td align="center">9</td>
+<td align="center">0.56</td>
 <td align="center"><a href="">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">MobileNetV1</td>
-<td align="center">sensitive -xx%</td>
-<td align="center">xx%/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">sensitive -30%</td>
+<td align="center">70.4%/89.3%</td>
+<td align="center">12</td>
+<td align="center">0.74</td>
 <td align="center"><a href="">下载链接</a></td>
 </tr>
 <tr>
-<td align="center">MobileNetV2</td>
-<td align="center">-</td>
-<td align="center">72.15%/90.65%</td>
-<td align="center">xx</td>
-<td align="center">xx</td>
-<td align="center">xx</td>
-<td align="center">xx</td>
+<td align="center">MobileNetV1</td>
+<td align="center">sensitive -50%</td>
+<td align="center">69.8% / 88.9%</td>
+<td align="center">9</td>
+<td align="center">0.56</td>
 <td align="center"><a href="">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">MobileNetV2</td>
-<td align="center">uniform -xx%</td>
-<td align="center">xx%/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">-</td>
+<td align="center">72.15%/90.65%</td>
+<td align="center">15</td>
+<td align="center">0.59</td>
 <td align="center"><a href="">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">MobileNetV2</td>
-<td align="center">sensitive -xx%</td>
-<td align="center">xx%/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">uniform -50%</td>
+<td align="center">65.79%/86.11%</td>
+<td align="center">11</td>
+<td align="center">0.296</td>
 <td align="center"><a href="">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">ResNet34</td>
 <td align="center">-</td>
-<td align="center">74.57%/92.14%</td>
-<td align="center">xx</td>
-<td align="center">xx</td>
-<td align="center">xx</td>
-<td align="center">xx</td>
+<td align="center">72.15%/90.65%</td>
+<td align="center">84</td>
+<td align="center">7.36</td>
 <td align="center"><a href="">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">ResNet34</td>
-<td align="center">uniform -xx%</td>
-<td align="center">xx%/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">uniform -50%</td>
+<td align="center">70.99%/89.95%</td>
+<td align="center">41</td>
+<td align="center">3.67</td>
 <td align="center"><a href="">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">ResNet34</td>
-<td align="center">auto -xx%</td>
-<td align="center">xx%/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">auto -55.05%</td>
+<td align="center">70.24%/89.63%</td>
+<td align="center">33</td>
+<td align="center">3.31</td>
 <td align="center"><a href="">下载链接</a></td>
 </tr>
 </tbody>
@@ -403,56 +383,56 @@
 <td align="center">-</td>
 <td align="center">70.99%/89.68%</td>
 <td align="center">17</td>
-<td align="center"><a href="">下载链接</a></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>
 <td align="center">ResNet50_vd</td>
 <td align="center">-</td>
 <td align="center">79.12%/94.44%</td>
 <td align="center">99</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center"><a href="https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">MobileNetV1</td>
 <td align="center">ResNet50_vd<sup><a href="#trans1">1</a></sup> distill</td>
 <td align="center">72.77%/90.68%</td>
 <td align="center">17</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV1_distilled.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">MobileNetV2</td>
 <td align="center">-</td>
 <td align="center">72.15%/90.65%</td>
 <td align="center">15</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center"><a href="https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_pretrained.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">MobileNetV2</td>
 <td align="center">ResNet50_vd distill</td>
 <td align="center">74.28%/91.53%</td>
 <td align="center">15</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV2_distilled.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">ResNet50</td>
 <td align="center">-</td>
 <td align="center">76.50%/93.00%</td>
 <td align="center">99</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center"><a href="http://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_pretrained.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">ResNet101</td>
 <td align="center">-</td>
 <td align="center">77.56%/93.64%</td>
 <td align="center">173</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center"><a href="http://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">ResNet50</td>
 <td align="center">ResNet101 distill</td>
 <td align="center">77.29%/93.65%</td>
 <td align="center">99</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/PaddleSlim/ResNet50_distilled.tar">下载链接</a></td>
 </tr>
 </tbody>
 </table>
@@ -643,7 +623,7 @@
 </tr>
 </tbody>
 </table>
-<h3 id="22">2.2 剪枝<a class="headerlink" href="#22" title="Permanent link">#</a></h3>
+<h3 id="22">2.2 剪裁<a class="headerlink" href="#22" title="Permanent link">#</a></h3>
 <p>数据集：Pasacl VOC &amp; COCO 2017</p>
 <table>
 <thead>
@@ -656,9 +636,7 @@
 <th align="center">输入416 Box AP</th>
 <th align="center">输入320 Box AP</th>
 <th align="center">模型大小(MB)</th>
-<th align="center">FLOPs（M）</th>
-<th align="center">arm时延（ms）</th>
-<th align="center">P4时延（ms）</th>
+<th align="center">GFLOPs (608*608)</th>
 <th align="center">下载</th>
 </tr>
 </thead>
@@ -666,30 +644,26 @@
 <tr>
 <td align="center">MobileNet-V1-YOLOv3</td>
 <td align="center">-</td>
-<td align="center">Pasacl VOC</td>
+<td align="center">Pascal VOC</td>
 <td align="center">8</td>
 <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">xx</td>
-<td align="center">xx</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center">94</td>
+<td align="center">40.49</td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/object_detection/yolov3_mobilenet_v1_voc.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">MobileNet-V1-YOLOv3</td>
-<td align="center">sensitive  -xx%</td>
-<td align="center">Pasacl VOC</td>
+<td align="center">sensitive -52.88%</td>
+<td align="center">Pascal VOC</td>
 <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">xx</td>
-<td align="center">xx</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center">77.6</td>
+<td align="center">77.7</td>
+<td align="center">75.5</td>
+<td align="center">31</td>
+<td align="center">19.08</td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/PaddleSlim/yolov3_mobilenet_v1_voc_prune.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">MobileNet-V1-YOLOv3</td>
@@ -698,26 +672,22 @@
 <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">xx</td>
-<td align="center">xx</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center">27.0</td>
+<td align="center">95</td>
+<td align="center">41.35</td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/object_detection/yolov3_mobilenet_v1.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">MobileNet-V1-YOLOv3</td>
-<td align="center">sensitive -xx%</td>
+<td align="center">sensitive -51.77%</td>
 <td align="center">COCO</td>
 <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">xx</td>
-<td align="center">xx</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center">26.0</td>
+<td align="center">25.1</td>
+<td align="center">22.6</td>
+<td align="center">32</td>
+<td align="center">19.94</td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/PaddleSlim/yolov3_mobilenet_v1_prune.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">R50-dcn-YOLOv3</td>
@@ -725,41 +695,35 @@
 <td align="center">COCO</td>
 <td align="center">8</td>
 <td align="center">39.1</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">xx</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center">-</td>
+<td align="center">-</td>
+<td align="center">177</td>
+<td align="center">89.60</td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/object_detection/yolov3_r50vd_dcn.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">R50-dcn-YOLOv3</td>
-<td align="center">sensitive -xx%</td>
+<td align="center">sensitive -9.37%</td>
 <td align="center">COCO</td>
 <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">xx</td>
-<td align="center">xx</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center">39.3</td>
+<td align="center">-</td>
+<td align="center">-</td>
+<td align="center">150</td>
+<td align="center">81.20</td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/PaddleSlim/yolov3_r50vd_dcn_prune.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">R50-dcn-YOLOv3</td>
-<td align="center">sensitive -xx%</td>
+<td align="center">sensitive -24.68%</td>
 <td align="center">COCO</td>
 <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">xx</td>
-<td align="center">xx</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center">37.3</td>
+<td align="center">-</td>
+<td align="center">-</td>
+<td align="center">113</td>
+<td align="center">67.48</td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/PaddleSlim/yolov3_r50vd_dcn_prune578.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">R50-dcn-YOLOv3 obj365_pretrain</td>
@@ -767,41 +731,35 @@
 <td align="center">COCO</td>
 <td align="center">8</td>
 <td align="center">41.4</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">xx</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center">-</td>
+<td align="center">-</td>
+<td align="center">177</td>
+<td align="center">89.60</td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/object_detection/yolov3_r50vd_dcn_obj365_pretrained_coco.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">R50-dcn-YOLOv3 obj365_pretrain</td>
-<td align="center">sensitive -xx%</td>
+<td align="center">sensitive -9.37%</td>
 <td align="center">COCO</td>
 <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">xx</td>
-<td align="center">xx</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center">40.5</td>
+<td align="center">-</td>
+<td align="center">-</td>
+<td align="center">150</td>
+<td align="center">81.20</td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/PaddleSlim/yolov3_r50vd_dcn_obj365_pretrained_coco_prune.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">R50-dcn-YOLOv3 obj365_pretrain</td>
-<td align="center">sensitive -xx%</td>
+<td align="center">sensitive -24.68%</td>
 <td align="center">COCO</td>
 <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">xx</td>
-<td align="center">xx</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center">37.8</td>
+<td align="center">-</td>
+<td align="center">-</td>
+<td align="center">113</td>
+<td align="center">67.48</td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/PaddleSlim/yolov3_r50vd_dcn_obj365_pretrained_coco_prune578.tar">下载链接</a></td>
 </tr>
 </tbody>
 </table>
@@ -831,7 +789,7 @@
 <td align="center">76.7</td>
 <td align="center">75.3</td>
 <td align="center">94</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/object_detection/yolov3_mobilenet_v1_voc.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">ResNet34-YOLOv3</td>
@@ -842,7 +800,7 @@
 <td align="center">81.9</td>
 <td align="center">80.1</td>
 <td align="center">162</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/object_detection/yolov3_r34_voc.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">MobileNet-V1-YOLOv3</td>
@@ -853,7 +811,7 @@
 <td align="center">78.2</td>
 <td align="center">75.5</td>
 <td align="center">94</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/PaddleSlim/yolov3_mobilenetv1_voc_distilled.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">MobileNet-V1-YOLOv3</td>
@@ -864,7 +822,7 @@
 <td align="center">29.3</td>
 <td align="center">27.0</td>
 <td align="center">95</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/object_detection/yolov3_mobilenet_v1.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">ResNet34-YOLOv3</td>
@@ -875,7 +833,7 @@
 <td align="center">34.3</td>
 <td align="center">31.4</td>
 <td align="center">163</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/object_detection/yolov3_r34.tar">下载链接</a></td>
 </tr>
 <tr>
 <td align="center">MobileNet-V1-YOLOv3</td>
@@ -886,7 +844,7 @@
 <td align="center">30.0</td>
 <td align="center">27.1</td>
 <td align="center">95</td>
-<td align="center"><a href="">下载链接</a></td>
+<td align="center"><a href="https://paddlemodels.bj.bcebos.com/PaddleSlim/yolov3_mobilenetv1_coco_distilled.tar">下载链接</a></td>
 </tr>
 </tbody>
 </table>
@@ -948,7 +906,7 @@
 </tr>
 </tbody>
 </table>
-<h3 id="32">3.2 剪枝<a class="headerlink" href="#32" title="Permanent link">#</a></h3>
+<h3 id="32">3.2 剪裁<a class="headerlink" href="#32" title="Permanent link">#</a></h3>
 <table>
 <thead>
 <tr>
@@ -957,8 +915,6 @@
 <th align="center">mIoU</th>
 <th align="center">模型大小（MB）</th>
 <th align="center">FLOPs（M）</th>
-<th align="center">arm时延（ms）</th>
-<th align="center">P4时延（ms）</th>
 <th align="center">下载</th>
 </tr>
 </thead>
@@ -969,8 +925,6 @@
 <td align="center">69.81</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>
 </tr>
 <tr>
@@ -979,8 +933,6 @@
 <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>
 </tr>
 </tbody>

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