The official repository for Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Sytems, published at WACV 2023. Our work achieves state-of-the-art results for person and vehicle re-identification and provides a faster optimised and more generalisable model for re-identification.
GMS Feature Matching Algorithm taken from: https://github.com/JiawangBian/GMS-Feature-Matcher
If you find this code useful for your research, please cite our paper
@InProceedings{Ghosh_2023_WACV,
author = {Ghosh, Adhiraj and Shanmugalingam, Kuruparan and Lin, Wen-Yan},
title = {Relation Preserving Triplet Mining for Stabilising the Triplet Loss In re-Identification Systems},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {January},
year = {2023},
pages = {4840-4849}
}
If you have any question, please feel free to contact us. E-mail: adhirajghosh1998@gmail.com , Wen-Yan Lin