Center metric and download columns horizontally and vertically

README.md

@@ -27,19 +27,101 @@ For source code, [installation](https://github.com/wenbo-wei/PEMOLA#installation
 
 ### Panoptic Segmentation on COCO-OLAC
 
-| Backbone | Method | PQ | PQ<sup>Th</sup> | PQ<sup>St</sup> | AP<sup>Th</sup><sub>pan</sub> | mIoU<sub>pan</sub> | Weights |
-| :--- | :--- | :---: | :---: | :---: | :---: | :---: | :---: |
-| ResNet-50 | Mask2Former | 40.7 | 44.5 | 35.0 | 30.0 | 54.2 | [download](https://huggingface.co/weiwb/PEMOLA/resolve/main/mask2former_coco_olac.pth) |
-| ResNet-50 | **+ PEMOLA** | **41.5** | **45.2** | **35.9** | **30.4** | **54.8** | [download](https://huggingface.co/weiwb/PEMOLA/resolve/main/mask2former_pemola_coco_olac.pth) |
-| ResNet-50 | Mask DINO | 44.0 | 48.5 | 37.3 | 33.5 | 53.4 | [download](https://huggingface.co/weiwb/PEMOLA/resolve/main/maskdino_coco_olac.pth) |
-| ResNet-50 | **+ PEMOLA** | **44.8** | **49.4** | **37.8** | **34.2** | **55.3** | [download](https://huggingface.co/weiwb/PEMOLA/resolve/main/maskdino_pemola_coco_olac.pth) |
+<table>
+<thead>
+<tr>
+  <th align="left" valign="middle" style="text-align: left; vertical-align: middle;">Backbone</th>
+  <th align="left" valign="middle" style="text-align: left; vertical-align: middle;">Method</th>
+  <th align="center" valign="middle" style="text-align: center; vertical-align: middle;">PQ</th>
+  <th align="center" valign="middle" style="text-align: center; vertical-align: middle;">PQ<sup>Th</sup></th>
+  <th align="center" valign="middle" style="text-align: center; vertical-align: middle;">PQ<sup>St</sup></th>
+  <th align="center" valign="middle" style="text-align: center; vertical-align: middle;">AP<sup>Th</sup><sub>pan</sub></th>
+  <th align="center" valign="middle" style="text-align: center; vertical-align: middle;">mIoU<sub>pan</sub></th>
+  <th align="center" valign="middle" style="text-align: center; vertical-align: middle;">Weights</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+  <td align="left" valign="middle" style="text-align: left; vertical-align: middle;">ResNet-50</td>
+  <td align="left" valign="middle" style="text-align: left; vertical-align: middle;">Mask2Former</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">40.7</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">44.5</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">35.0</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">30.0</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">54.2</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/weiwb/PEMOLA/resolve/main/mask2former_coco_olac.pth">download</a></td>
+</tr>
+<tr>
+  <td align="left" valign="middle" style="text-align: left; vertical-align: middle;">ResNet-50</td>
+  <td align="left" valign="middle" style="text-align: left; vertical-align: middle;"><strong>+ PEMOLA</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><strong>41.5</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><strong>45.2</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><strong>35.9</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><strong>30.4</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><strong>54.8</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/weiwb/PEMOLA/resolve/main/mask2former_pemola_coco_olac.pth">download</a></td>
+</tr>
+<tr>
+  <td align="left" valign="middle" style="text-align: left; vertical-align: middle;">ResNet-50</td>
+  <td align="left" valign="middle" style="text-align: left; vertical-align: middle;">Mask DINO</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">44.0</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">48.5</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">37.3</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">33.5</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">53.4</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/weiwb/PEMOLA/resolve/main/maskdino_coco_olac.pth">download</a></td>
+</tr>
+<tr>
+  <td align="left" valign="middle" style="text-align: left; vertical-align: middle;">ResNet-50</td>
+  <td align="left" valign="middle" style="text-align: left; vertical-align: middle;"><strong>+ PEMOLA</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><strong>44.8</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><strong>49.4</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><strong>37.8</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><strong>34.2</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><strong>55.3</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/weiwb/PEMOLA/resolve/main/maskdino_pemola_coco_olac.pth">download</a></td>
+</tr>
+</tbody>
+</table>
 
 ### Panoptic Segmentation on Cityscapes-OLAC
 
-| Backbone | Method | PQ | PQ<sup>Th</sup> | PQ<sup>St</sup> | AP<sup>Th</sup><sub>pan</sub> | mIoU<sub>pan</sub> | Weights |
-| :--- | :--- | :---: | :---: | :---: | :---: | :---: | :---: |
-| ResNet-50 | Mask2Former | 61.5 | 54.0 | 66.9 | 35.2 | 76.1 | [download](https://huggingface.co/weiwb/PEMOLA/resolve/main/mask2former_cityscapes_olac.pth) |
-| ResNet-50 | **+ PEMOLA** | **62.3** | **55.4** | **67.2** | **38.5** | **77.4** | [download](https://huggingface.co/weiwb/PEMOLA/resolve/main/mask2former_pemola_cityscapes_olac.pth) |
+<table>
+<thead>
+<tr>
+  <th align="left" valign="middle" style="text-align: left; vertical-align: middle;">Backbone</th>
+  <th align="left" valign="middle" style="text-align: left; vertical-align: middle;">Method</th>
+  <th align="center" valign="middle" style="text-align: center; vertical-align: middle;">PQ</th>
+  <th align="center" valign="middle" style="text-align: center; vertical-align: middle;">PQ<sup>Th</sup></th>
+  <th align="center" valign="middle" style="text-align: center; vertical-align: middle;">PQ<sup>St</sup></th>
+  <th align="center" valign="middle" style="text-align: center; vertical-align: middle;">AP<sup>Th</sup><sub>pan</sub></th>
+  <th align="center" valign="middle" style="text-align: center; vertical-align: middle;">mIoU<sub>pan</sub></th>
+  <th align="center" valign="middle" style="text-align: center; vertical-align: middle;">Weights</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+  <td align="left" valign="middle" style="text-align: left; vertical-align: middle;">ResNet-50</td>
+  <td align="left" valign="middle" style="text-align: left; vertical-align: middle;">Mask2Former</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">61.5</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">54.0</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">66.9</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">35.2</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">76.1</td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/weiwb/PEMOLA/resolve/main/mask2former_cityscapes_olac.pth">download</a></td>
+</tr>
+<tr>
+  <td align="left" valign="middle" style="text-align: left; vertical-align: middle;">ResNet-50</td>
+  <td align="left" valign="middle" style="text-align: left; vertical-align: middle;"><strong>+ PEMOLA</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><strong>62.3</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><strong>55.4</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><strong>67.2</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><strong>38.5</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><strong>77.4</strong></td>
+  <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/weiwb/PEMOLA/resolve/main/mask2former_pemola_cityscapes_olac.pth">download</a></td>
+</tr>
+</tbody>
+</table>
 
 ### Occlusion Classifier (auxiliary)
 
@@ -52,17 +134,17 @@ Top-1 accuracies (%) reported in the paper on the COCO-OLAC test split with back
   <th align="center">Pretraining</th>
   <th align="center">Input</th>
   <th align="center">Top-1 Acc (%)</th>
-  <th align="center">Weights</th>
+  <th align="center" valign="middle" style="text-align: center; vertical-align: middle;">Weights</th>
 </tr>
 </thead>
 <tbody>
-<tr><td align="left">ResNet-50</td>       <td align="center">ImageNet-1K</td>       <td align="center">224</td> <td align="center">70.3</td>     <td align="center">—</td></tr>
-<tr><td align="left">ResNet-101</td>      <td align="center">ImageNet-1K</td>       <td align="center">224</td> <td align="center">70.8</td>     <td align="center">—</td></tr>
-<tr><td align="left">Swin-T</td>          <td align="center">ImageNet-22K</td>      <td align="center">224</td> <td align="center">71.6</td>     <td align="center">—</td></tr>
-<tr><td align="left">Swin-S</td>          <td align="center">ImageNet-22K</td>      <td align="center">224</td> <td align="center">71.4</td>     <td align="center">—</td></tr>
-<tr><td align="left">Swin-B</td>          <td align="center">ImageNet-22K</td>      <td align="center">224</td> <td align="center">71.7</td>     <td align="center">—</td></tr>
-<tr><td align="left">Swin-B</td>          <td align="center">ImageNet-22K</td> <td align="center">384</td> <td align="center">75.3</td>     <td align="center">—</td></tr>
-<tr><td align="left">Swin-L</td>          <td align="center">ImageNet-22K</td>      <td align="center">224</td> <td align="center">73.0</td>     <td align="center">—</td></tr>
-<tr><td align="left"><b>Swin-L</b></td>    <td align="center">ImageNet-22K</td> <td align="center">384</td> <td align="center"><b>75.3</b></td> <td align="center"><a href="https://huggingface.co/weiwb/PEMOLA/resolve/main/occl_classifier_swin_large_window12_384_coco_olac.pth">download</a></td></tr>
+<tr><td align="left">ResNet-50</td>       <td align="center">ImageNet-1K</td>       <td align="center">224</td> <td align="center">70.3</td>     <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">—</td></tr>
+<tr><td align="left">ResNet-101</td>      <td align="center">ImageNet-1K</td>       <td align="center">224</td> <td align="center">70.8</td>     <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">—</td></tr>
+<tr><td align="left">Swin-T</td>          <td align="center">ImageNet-22K</td>      <td align="center">224</td> <td align="center">71.6</td>     <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">—</td></tr>
+<tr><td align="left">Swin-S</td>          <td align="center">ImageNet-22K</td>      <td align="center">224</td> <td align="center">71.4</td>     <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">—</td></tr>
+<tr><td align="left">Swin-B</td>          <td align="center">ImageNet-22K</td>      <td align="center">224</td> <td align="center">71.7</td>     <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">—</td></tr>
+<tr><td align="left">Swin-B</td>          <td align="center">ImageNet-22K</td> <td align="center">384</td> <td align="center">75.3</td>     <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">—</td></tr>
+<tr><td align="left">Swin-L</td>          <td align="center">ImageNet-22K</td>      <td align="center">224</td> <td align="center">73.0</td>     <td align="center" valign="middle" style="text-align: center; vertical-align: middle;">—</td></tr>
+<tr><td align="left"><b>Swin-L</b></td>    <td align="center">ImageNet-22K</td> <td align="center">384</td> <td align="center"><b>75.3</b></td> <td align="center" valign="middle" style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/weiwb/PEMOLA/resolve/main/occl_classifier_swin_large_window12_384_coco_olac.pth">download</a></td></tr>
 </tbody>
 </table>