#Model Zoo
## Evaluation
<table><thead><tr><th></th><th rowspan="2">Config</th><th rowspan="2">Remarks</th><th>VOC07 SVM</th><th colspan="5">ImageNet (Multi)</th><th>ImageNet (Last)</th></tr><tr><td></td><td>feat5 by default</td><td>feat1</td><td>feat2</td><td>feat3</td><td>feat4</td><td>feat5</td><td>avgpool</td></tr></thead><tbody><tr><td><a href="https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py" target="_blank" rel="noopener noreferrer">ImageNet</a></td><td>-</td><td>torchvision</td><td>87.2</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Random</td><td>-</td><td>kaiming</td><td>30.2 (feat2)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td><a href="https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Doersch_Unsupervised_Visual_Representation_ICCV_2015_paper.pdf" target="_blank" rel="noopener noreferrer">Relative-Loc</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td><a href="https://arxiv.org/abs/1803.07728" target="_blank" rel="noopener noreferrer">Rotation-Pred</a></td><td>selfsup/rotation_pred/r50.py</td><td>default</td><td>67.4 (feat4)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td><a href="https://arxiv.org/abs/1807.05520" target="_blank" rel="noopener noreferrer">DeepCluster</a></td><td>selfsup/deepcluster/r50.py</td><td>default</td><td>74.3</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td><a href="https://arxiv.org/abs/1805.01978" target="_blank" rel="noopener noreferrer">NPID</a></td><td>selfsup/npid/r50.py</td><td>default</td><td>74.5</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td><a href="http://openaccess.thecvf.com/content_CVPR_2020/papers/Zhan_Online_Deep_Clustering_for_Unsupervised_Representation_Learning_CVPR_2020_paper.pdf" target="_blank" rel="noopener noreferrer">ODC</a></td><td>selfsup/odc/r50_v1.py</td><td>default</td><td>78.2</td><td>14.8</td><td>31.6</td><td>42.5</td><td>55.7</td><td>57.6</td><td></td></tr><tr><td><a href="https://arxiv.org/abs/1911.05722" target="_blank" rel="noopener noreferrer">MoCo</a></td><td>selfsup/moco/r50_v1.py</td><td>default</td><td>79.2</td><td>15.32</td><td>33.08</td><td>44.68</td><td>57.27</td><td>60.6</td><td></td></tr><tr><td><a href="https://arxiv.org/abs/2003.04297" target="_blank" rel="noopener noreferrer">MoCo v2</a></td><td>selfsup/moco/r50_v2.py</td><td>default</td><td>84.1</td><td>15.35</td><td>34.57</td><td>45.81</td><td>60.96</td><td>66.72</td><td></td></tr><tr><td></td><td>selfsup/moco/r50_v2.py</td><td>MoCo_v2 neck -> SimCLR neck<br></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td><a href="https://arxiv.org/abs/2002.05709" target="_blank" rel="noopener noreferrer">SimCLR</a></td><td>selfsup/simclr/r50_bs256.py</td><td>default</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td>selfsup/simclr/r50_bs256_simple_neck.py</td><td>SimCLR neck -> MoCo_v2 neck</td><td>77.65</td><td></td><td></td><td></td><td></td><td></td><td></td></tr></tbody></table>
