InMaP

PyTorch Implementation for Our NeurIPS'23 Paper: "Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP"

Requirements

• Python 3.9
• PyTorch 1.12
• CLIP

Usage:

InMaP with pre-trained ResNet-50

python main.py -a RN50 --data_path /path/to/imagenet

Citation

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

@inproceedings{qian2023inmap,
  author    = {Qi Qian and
               Yuanhong Xu and
               Juhua Hu},
  title     = {Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP},
  booktitle = {Thirty-seventh Conference on Neural Information Processing Systems, {NeurIPS} 2023},
  year      = {2023}
}