TeS

PyTorch Implementation for Our ICCV'23 Paper: "Improved Visual Fine-tuning with Natural Language Supervision"

Requirements

• Python 3.8
• PyTorch 1.11
• transformers 4.30.2

Usage:

TeS on CIFAR-100

• Prepare the CIFAR100 dataset.
• Download the checkpoint of ResNet50 pre-trained by MoCo from Link
• Run the command below.

sh run_TeS.sh

Citation

If you use the package in your research, please cite our paper:

@article{wang2023improved,
  title={Improved Visual Fine-tuning with Natural Language Supervision},
  author={Wang, Junyang and Xu, Yuanhong and Hu, Juhua and Yan, Ming and Sang, Jitao and Qian, Qi},
  booktitle = {{IEEE} International Conference on Computer Vision, {ICCV} 2023},
  year={2023}
}