This is the implementation of the IEEE CBMI 2025 paper "ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval" created by Guanqi Zhan*, Yuanpei Liu*, Kai Han, Weidi Xie and Andrew Zisserman.

The datasets we use in this work include: COCO, Flickr, Occluded COCO and ImageNet-R

For ELIP-C, ELIP-S, and ELIP-S2, change into the ELIP-C directory and follow the corresponding README. For ELIP-B, change into the ELIP-B directory and consult its README.

This repository is built upon OpenCLIP and LAVIS. Thanks for those well-organized codebases.

If you find this repo useful for your research, please consider citing our paper:

@inproceedings{Zhan2025ELIP,
    author = {Zhan, Guanqi and Liu, Yuanpei and Han, Kai and Xie, Weidi and Zisserman, Andrew},
    title = {ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval},
    booktitle = {International Conference on Content-Based Multimedia Indexing (CBMI)},
    year = {2025}
}