Clothes-Changing Person Re-Identification with Feasibility-Aware Intermediary Matching
<|reference_start|>Clothes-Changing Person Re-Identification with Feasibility-Aware Intermediary Matching: Current clothes-changing person re-identification (re-id) approaches usually perform retrieval based on clothes-irrelevant features, while neglecting the potential of clothes-relevant features. However, we observe that relying solely on clothes-irrelevant features for clothes-changing re-id is limited, since they often lack adequate identity information and suffer from large intra-class variations. On the contrary, clothes-relevant features can be used to discover same-clothes intermediaries that possess informative identity clues. Based on this observation, we propose a Feasibility-Aware Intermediary Matching (FAIM) framework to additionally utilize clothes-relevant features for retrieval. Firstly, an Intermediary Matching (IM) module is designed to perform an intermediary-assisted matching process. This process involves using clothes-relevant features to find informative intermediates, and then using clothes-irrelevant features of these intermediates to complete the matching. Secondly, in order to reduce the negative effect of low-quality intermediaries, an Intermediary-Based Feasibility Weighting (IBFW) module is designed to evaluate the feasibility of intermediary matching process by assessing the quality of intermediaries. Extensive experiments demonstrate that our method outperforms state-of-the-art methods on several widely-used clothes-changing re-id benchmarks.<|reference_end|>
@article{zhao2024clothes-changing,
    title={Clothes-Changing Person Re-Identification with Feasibility-Aware
  Intermediary Matching},
    author={Jiahe Zhao, Ruibing Hou, Hong Chang, Xinqian Gu, Bingpeng Ma, Shiguang
  Shan, Xilin Chen},
    journal={arXiv preprint arXiv:2404.09507},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.09507},
    primaryClass={cs.CV}
}