Awesome

SCEN

Code For CVPR2022 paper "Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning"<br> Paper: https://arxiv.org/abs/2206.14475

Usage

Requirements<br>

environment.yml

Data Preparation

Mit-States: Download from http://wednesday.csail.mit.edu/joseph_result/state_and_transformation/release_dataset.zip<br> Utzappos: Download from http://vision.cs.utexas.edu/projects/finegrained/utzap50k/ut-zap50k-images.zip<br> C-GQA: Download from https://s3.mlcloud.uni-tuebingen.de/czsl/cgqa-updated.zip<br>

Training

MIT-States

python train.py --config configs/scen/mit/scen_cw.yml

Ut-Zappos

python train.py --config configs/scen/utzppos/scen_cw.yml

C-GQA

python train.py --config configs/scen/cgqa/scen_cw.yml

References

If you use this code, please cite

@inproceedings{li2022siamese,
  title={Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning},
  author={Li, Xiangyu and Yang, Xu and Wei, Kun and Deng, Cheng and Yang, Muli},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={9326--9335},
  year={2022}
}