PyTorch implementation for Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval (AAAI 2023).
- Python 3.8
- PyTorch (1.10.0)
- numpy
- scikit-learn
- faiss (1.7.2)
The directory structure of datasets.
datasets
├── OfficeHomeDataset_10072016 #
│ ├── Art
│ ├── Clipart
│ ├── Product
│ ├── Real_World
│ ├── ......
cd shells
sh run_coda.sh
If CoDA is useful for your research, please consider citing the paper:
@inproceedings{Wang2023CoDA,
author = {Wang, Xu and Peng, Dezhong and Yan, Ming and Hu, Peng},
title = {Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval},
year = {2023},
booktitle = {The Thirty-Seventh AAAI Conference on Artificial Intelligence},
series = {AAAI 2023}
}