Image Retrieval

Paper: WACV 2025 paper PDF: OpenAccess PDF

Paper: MaPLe: Multi-modal Prompt Learning PDF: arXiv PDF Code: GitHub

Paper: SIGIR 2025, DePro: Domain Ensemble using Decoupled Prompts for Universal Cross-Domain Retrieval PDF: paper link

Paper: CVPR 2024 paper OpenAccess: CVF OpenAccess

Wang, Lixu, Xinyu Du, and Qi Zhu. “Semantic feature learning for universal unsupervised cross-domain retrieval.” Advances in Neural Information Processing Systems 37 (2024): 79516-79539. Paper Link: NeurIPS 2024

Li, Bin, et al. “Unsupervised cross-domain image retrieval via prototypical optimal transport.” Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 38. No. 4. 2024. Paper Link: AAAI 2024

Liu, Jiayang, et al. “Noise Mitigation for Unsupervised Cross-Domain Image Retrieval.” 2025 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2025. Paper Link: ICME 2025

Authors: Conghui Hu, Gim Hee Lee (National University of Singapore) Conference: ECCV 2022 arXiv: 2207.09721 Code: GitHub

Hu, Conghui, Can Zhang, and Gim Hee Lee. “Unsupervised feature representation learning for domain-generalized cross-domain image retrieval.” Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023. Paper Link: ICCV 2023

Wang, Xu, et al. “Correspondence-free domain alignment for unsupervised cross-domain image retrieval.” Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 37. No. 8. 2023. Paper Link: arXiv:2302.06081