Papers › Clothes-Changing Person Re-identification with RGB Modality Only

Clothes-Changing Person Re-identification with RGB Modality Only

14 Apr 2022CVPR 2022 1arXiv:2204.06890archive 2025-07-28

Xinqian Gu, Hong Chang, Bingpeng Ma, Shutao Bai, Shiguang Shan, Xilin Chen

The key to address clothes-changing person re-identification (re-id) is to extract clothes-irrelevant features, e.g., face, hairstyle, body shape, and gait. Most current works mainly focus on modeling body shape from multi-modality information (e.g., silhouettes and sketches), but do not make full use of the clothes-irrelevant information in the original RGB images. In this paper, we propose a Clothes-based Adversarial Loss (CAL) to mine clothes-irrelevant features from the original RGB images by penalizing the predictive power of re-id model w.r.t. clothes. Extensive experiments demonstrate that using RGB images only, CAL outperforms all state-of-the-art methods on widely-used clothes-changing person re-id benchmarks. Besides, compared with images, videos contain richer appearance and additional temporal information, which can be used to model proper spatiotemporal patterns to assist clothes-changing re-id. Since there is no publicly available clothes-changing video re-id dataset, we contribute a new dataset named CCVID and show that there exists much room for improvement in modeling spatiotemporal information. The code and new dataset are available at: https://github.com/guxinqian/Simple-CCReID.

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ClothesBasedAdversarialLoss guxinqian/Simple-CCReID/losses/clothes_based_adversarial_loss.py official repository ran Apache-2.0 (permissive) · 3a6789ecfe9c5c13 · report

Tasks

Clothes Changing Person Re-IdentificationMultiview Gait RecognitionPerson Re-Identification

Datasets

Introduced by this paper, per the archive.

CCVID

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Multiview Gait Recognition CASIA-B CAL (RGB), AP3DNLResNet50 Accuracy (Cross-View, Avg) 97.3 #1 of 12 Archive leaderboard report
Multiview Gait Recognition CASIA-B CAL (RGB), AP3DNLResNet50 BG#1-2 99.8 #1 of 12 Archive leaderboard report
Multiview Gait Recognition CASIA-B CAL (RGB), AP3DNLResNet50 CL#1-2 92.3 #1 of 12 Archive leaderboard report
Multiview Gait Recognition CASIA-B CAL (RGB), AP3DNLResNet50 NM#5-6 99.9 #1 of 12 Archive leaderboard report
Person Re-Identification CCVID CAL Rank-1 81.7 #4 of 4 Archive leaderboard report
Person Re-Identification CCVID CAL mAP 79.6 #4 of 4 Archive leaderboard report
Person Re-Identification LTCC CAL Rank-1 40.1 #12 of 13 Archive leaderboard report
Person Re-Identification LTCC CAL mAP 18.0 #12 of 13 Archive leaderboard report
Person Re-Identification PRCC CAL Rank-1 55.2 #10 of 13 Archive leaderboard report
Person Re-Identification PRCC CAL mAP 55.8 #10 of 13 Archive leaderboard report
Person Re-Identification VC-Clothes CAL Rank-1 85.8 #2 of 6 Archive leaderboard report
Person Re-Identification VC-Clothes CAL mAP 79.8 #2 of 6 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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