| | --- |
| | license: mit |
| | --- |
| | ## CACR checkpoint repository |
| |
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| | ### For implementation details, please refer to our [Github Repo](https://github.com/JegZheng/CACR-SSL) |
| |
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| | #### ImageNet pretrained, performance of linear classification on ImageNet |
| | <table><tbody> |
| | <!-- START TABLE --> |
| | <!-- TABLE HEADER --> |
| | <th align="left">model</th> |
| | <th align="left">pretrain<br/>epochs</th> |
| | <th align="left">linear<br/>acc</th> |
| | <!-- TABLE BODY --> |
| | <tr> |
| | <td align="left">ResNet50</td> |
| | <td align="left">1000</td> |
| | <td align="left">74.7</td> |
| | </tr> |
| | <tr> |
| | <td align="left">ViT-Base</td> |
| | <td align="left">300</td> |
| | <td align="left">77.1</td> |
| | </tr> |
| | </tbody></table> |
| |
|
| | #### ImageNet pretrained, performance of linear classification on 20 Image in the Wild datasets |
| | Please feel free to check our learned representation performance in [Image in the Wild Challenge](https://eval.ai/web/challenges/challenge-page/1832/leaderboard/4301). |
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| |
|
| | ### Citation |
| | Please cite our work if you find it is helpful. Thank you! |
| | ``` |
| | @article{ |
| | zheng2023contrastive, |
| | title={Contrastive Attraction and Contrastive Repulsion for Representation Learning}, |
| | author={Huangjie Zheng and Xu Chen and Jiangchao Yao and Hongxia Yang and Chunyuan Li and Ya Zhang and Hao Zhang and Ivor Tsang and Jingren Zhou and Mingyuan Zhou}, |
| | journal={Transactions on Machine Learning Research}, |
| | issn={2835-8856}, |
| | year={2023}, |
| | url={https://openreview.net/forum?id=f39UIDkwwc}, |
| | } |
| | ``` |
| |
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|
