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index.html
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model_zoo/index.html
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</tr> </tr>
</tbody> </tbody>
</table> </table>
<p>量化训练前后，模型大小的变化对比如下：</p> <p>量化前后，模型大小的变化对比如下：</p>
<table> <table>
<thead> <thead>
<tr> <tr>
<th align="left">Model</th> <th align="center">Model</th>
<th align="center">FP32</th> <th align="center">FP32</th>
<th align="center">离线量化</th> <th align="center">离线量化</th>
<th align="center">量化训练</th> <th align="center">量化训练</th>
...@@ -246,19 +246,19 @@ ...@@ -246,19 +246,19 @@
</thead> </thead>
<tbody> <tbody>
<tr> <tr>
<td align="left">MobileNetV1</td> <td align="center">MobileNetV1</td>
<td align="center">17M</td> <td align="center">17M</td>
<td align="center"><a href="">xx%/xx%</a></td> <td align="center">xxM</td>
<td align="center"><a href="">xx%/xx%</a></td> <td align="center">xxM</td>
</tr> </tr>
<tr> <tr>
<td align="left">MobileNetV2</td> <td align="center">MobileNetV2</td>
<td align="center">xxM</td> <td align="center">xxM</td>
<td align="center"></td> <td align="center"></td>
<td align="center"></td> <td align="center"></td>
</tr> </tr>
<tr> <tr>
<td align="left">ResNet50</td> <td align="center">ResNet50</td>
<td align="center">99M</td> <td align="center">99M</td>
<td align="center"></td> <td align="center"></td>
<td align="center"></td> <td align="center"></td>
...@@ -329,6 +329,32 @@ ...@@ -329,6 +329,32 @@
</tr> </tr>
</tbody> </tbody>
</table> </table>
<p>量化前后，模型大小的变化对比如下：</p>
<table>
<thead>
<tr>
<th align="center">Model</th>
<th align="center">FP32</th>
<th align="center">离线量化</th>
<th align="center">量化训练</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center">MobileNet-V1-YOLOv3</td>
<td align="center">xxM</td>
<td align="center">xxM</td>
<td align="center">xxM</td>
</tr>
<tr>
<td align="center">R50-dcn-YOLOv3</td>
<td align="center">xxM</td>
<td align="center"></td>
<td align="center"></td>
</tr>
</tbody>
</table>
<h3 id="_1"><a class="headerlink" href="#_1" title="Permanent link">#</a></h3>
<p>数据集：WIDER-FACE</p> <p>数据集：WIDER-FACE</p>
<p>评价指标：Easy/Medium/Hard mAP</p> <p>评价指标：Easy/Medium/Hard mAP</p>
<table> <table>
...@@ -369,6 +395,38 @@ ...@@ -369,6 +395,38 @@
</tr> </tr>
</tbody> </tbody>
</table> </table>
<p>量化前后，模型大小的变化对比如下：</p>
<table>
<thead>
<tr>
<th align="center">Model</th>
<th align="center">FP32</th>
<th align="center">离线量化</th>
<th align="center">量化训练</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center">BlazeFace</td>
<td align="center">xxM</td>
<td align="center">xxM</td>
<td align="center">xxM</td>
</tr>
<tr>
<td align="center">BlazeFace-Lite</td>
<td align="center">xxM</td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">BlazeFace-NAS</td>
<td align="center">xxM</td>
<td align="center"></td>
<td align="center"></td>
</tr>
</tbody>
</table>
<h3 id="_2"><a class="headerlink" href="#_2" title="Permanent link">#</a></h3>
<h3 id="13">1.3 图像分割<a class="headerlink" href="#13" title="Permanent link">#</a></h3> <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> <p>数据集：Cityscapes</p>
<table> <table>
...@@ -395,6 +453,32 @@ ...@@ -395,6 +453,32 @@
</tr> </tr>
</tbody> </tbody>
</table> </table>
<p>量化前后，模型大小的变化对比如下：</p>
<table>
<thead>
<tr>
<th align="center">Model</th>
<th align="center">FP32</th>
<th align="center">离线量化</th>
<th align="center">量化训练</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center">DeepLabv3+/MobileNetv1</td>
<td align="center">xxM</td>
<td align="center">xxM</td>
<td align="center">xxM</td>
</tr>
<tr>
<td align="center">DeepLabv3+/MobileNetv2</td>
<td align="center">xxM</td>
<td align="center"></td>
<td align="center"></td>
</tr>
</tbody>
</table>
<h3 id="_3"><a class="headerlink" href="#_3" title="Permanent link">#</a></h3>
<h2 id="2">2. 剪枝<a class="headerlink" href="#2" title="Permanent link">#</a></h2> <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> <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> <p>数据集：ImageNet1000类</p>
...@@ -444,6 +528,42 @@ ...@@ -444,6 +528,42 @@
</tr> </tr>
</tbody> </tbody>
</table> </table>
<p>剪枝前后，模型大小和计算量的变化对比如下：</p>
<table>
<thead>
<tr>
<th align="center">Model</th>
<th align="center">baseline FLOPs</th>
<th align="center">baseline size</th>
<th align="center">剪枝后 FlOPs</th>
<th align="center">剪枝后 size</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center">MobileNetV1</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center">xx</td>
<td align="center">xx</td>
</tr>
<tr>
<td align="center">MobileNetV2</td>
<td align="center">xx</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">ResNet34</td>
<td align="center">xx</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
</tbody>
</table>
<h3 id="_4"><a class="headerlink" href="#_4" title="Permanent link">#</a></h3>
<h3 id="22">2.2 目标检测<a class="headerlink" href="#22" title="Permanent link">#</a></h3> <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> <p>数据集：Pasacl VOC &amp; COCO 2017</p>
<table> <table>
...@@ -532,6 +652,41 @@ ...@@ -532,6 +652,41 @@
</tr> </tr>
</tbody> </tbody>
</table> </table>
<p>剪枝前后，模型大小和计算量的变化对比如下：</p>
<table>
<thead>
<tr>
<th align="center">Model</th>
<th align="center">baseline FLOPs</th>
<th align="center">baseline size</th>
<th align="center">剪枝后 FlOPs</th>
<th align="center">剪枝后 size</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center">MobileNet-V1-YOLOv3-VOC</td>
<td align="center">xx</td>
<td align="center">xxM</td>
<td align="center">xx</td>
<td align="center">xxM</td>
</tr>
<tr>
<td align="center">MobileNet-V1-YOLOv3-COCO</td>
<td align="center">xx</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">R50-dcn-YOLOv3-COCO</td>
<td align="center">xx</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
</tbody>
</table>
<h3 id="23">2.3 图像分割<a class="headerlink" href="#23" title="Permanent link">#</a></h3> <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> <p>数据集：Cityscapes</p>
<table> <table>
...@@ -550,6 +705,27 @@ ...@@ -550,6 +705,27 @@
</tr> </tr>
</tbody> </tbody>
</table> </table>
<p>剪枝前后，模型大小和计算量的变化对比如下：</p>
<table>
<thead>
<tr>
<th align="center">Model</th>
<th align="center">baseline FLOPs</th>
<th align="center">baseline size</th>
<th align="center">剪枝后 FlOPs</th>
<th align="center">剪枝后 size</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center">DeepLabv3+/MobileNetv2</td>
<td align="center">xx</td>
<td align="center">xxM</td>
<td align="center">xx</td>
<td align="center">xxM</td>
</tr>
</tbody>
</table>
<h2 id="3">3. 蒸馏<a class="headerlink" href="#3" title="Permanent link">#</a></h2> <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> <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> <p>数据集：ImageNet1000类</p>
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