metadata
license: mit
CACR checkpoint repository
For implementation details, please refer to our Github Repo
ImageNet pretrained, performance of linear classification on ImageNet
| model | pretrain epochs |
linear acc |
|---|---|---|
| ResNet50 | 1000 | 74.7 |
| ViT-Base | 300 | 77.1 |
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.
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},
}