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Update vehicle MODEL_ZOO.md

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Jinkai Zheng 2020-05-29 18:51:02 +08:00
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MODEL_ZOO.md
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@ -156,27 +156,94 @@ Bag of Specials(BoS):
| Method | Pretrained | Rank@1 | mAP | mINP | download |
| :---: | :---: | :---: |:---: | :---: | :---:|
| BoT(R50-ibn) | ImageNet | 97.0% | 81.9% | 46.3% | -|
| [BoT(R50-ibn)](https://github.com/JDAI-CV/fast-reid/blob/master/configs/VeRi/sbs_R50-ibn.yml) | ImageNet | 97.0% | 81.9% | 46.3% | -|
### VehicleID Baseline
**BoT**:
Method: BoT(R50-ibn+gem pooling+weighted triplet+soft margin)
Test protocol: 10-fold cross-validation
**BoT**:
Test protocol: 10-fold cross-validation; trained on 4 NVIDIA P40 GPU.
| Testset size | Pretrained | Rank@1 | Rank@5 | download |
| :---: | :---: | :---: |:---: | :---:|
| Small(800) | ImageNet | 86.6% | 97.9% | -|
| Medium(1600) | ImageNet | 82.9% | 96.0% | -|
| Large(2400) | ImageNet | 80.6% | 93.9% | -|
<table>
<thead>
<tr>
<th rowspan="3" align="center">Method</th>
<th rowspan="3" align="center">Pretrained</th>
<th colspan="6" align="center">Testset size</th>
<th rowspan="3" align="center">download</th>
</tr>
<tr>
<td colspan="2" align="center">Small</td>
<td colspan="2" align="center">Medium</td>
<td colspan="2" align="center">Large</td>
</tr>
<tr>
<td align="center">Rank@1</td>
<td align="center">Rank@5</td>
<td align="center">Rank@1</td>
<td align="center">Rank@5</td>
<td align="center">Rank@1</td>
<td align="center">Rank@5</td>
</tr>
</thead>
<tbody>
<tr>
<td nowrap align="center"><a href="https://github.com/JDAI-CV/fast-reid/blob/master/configs/VehicleID/bagtricks_R50-ibn.yml">BoT(R50-ibn)</a></td>
<td align="center">ImageNet</td>
<td align="center">86.6%</td>
<td align="center">97.9%</td>
<td align="center">82.9%</td>
<td align="center">96.0%</td>
<td align="center">80.6%</td>
<td align="center">93.9%</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
### VERI-Wild Baseline
**BoT**:
Method: BoT(R50-ibn+gem pooling+weighted triplet+soft margin)
Test protocol: Trained on 4 NVIDIA P40 GPU.
| Testset size | Pretrained | Rank@1 | mAP | mINP | download |
| :---: | :---: | :---: |:---: | :---: | :---:|
| Small(3000) | ImageNet | 96.4% | 87.7% | 69.2% | -|
| Medium(5000) | ImageNet | 95.1% | 83.5% | 61.2% | -|
| Large(10000) | ImageNet | 92.5% | 77.3% | 49.8% | -|
<table>
<thead>
<tr>
<th rowspan="3" align="center"> Method</th>
<th rowspan="3" align="center">Pretrained</th>
<th colspan="9" align="center">Testset size</th>
<th rowspan="3" align="center">download</th>
</tr>
<tr>
<td colspan="3" align="center">Small</td>
<td colspan="3" align="center">Medium</td>
<td colspan="3" align="center">Large</td>
</tr>
<tr>
<td align="center">Rank@1</td>
<td align="center">mAP</td>
<td align="center">mINP</td>
<td align="center">Rank@1</td>
<td align="center">mAP</td>
<td align="center">mINP</td>
<td align="center">Rank@1</td>
<td align="center">mAP</td>
<td align="center">mINP</td>
</tr>
</thead>
<tbody>
<tr>
<td nowrap align="center"><a href="https://github.com/JDAI-CV/fast-reid/blob/master/configs/VERIWild/bagtricks_R50-ibn.yml">BoT(R50-ibn)</a></td>
<td align="center">ImageNet</td>
<td align="center">96.4%</td>
<td align="center">87.7%</td>
<td align="center">69.2%</td>
<td align="center">95.1%</td>
<td align="center">83.5%</td>
<td align="center">61.2%</td>
<td align="center">92.5%</td>
<td align="center">77.3%</td>
<td align="center">49.8%</td>
<td align="center">-</td>
</tr>
</tbody>
</table>