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Researchers develop new methods for person re-identification despite clothing changes

By PulseAugur Editorial · [2 sources] ·

Two new research papers tackle the challenge of clothes-changing person re-identification (CC-ReID), a problem where individuals need to be recognized despite variations in their attire. The first paper, Ortho-ReID, introduces a transformer-based method to model a low-rank clothing subspace and extract clothing-invariant representations through geometric constraints. The second paper, Causal Clothes-Invariant Learning (CCIL), proposes a causality-based approach to prevent models from learning spurious correlations between clothing and identity, thereby improving generalization to unseen clothing. AI

IMPACT These papers advance techniques for person re-identification by addressing the challenge of clothing variations, potentially improving surveillance and security systems.

RANK_REASON Two academic papers published on arXiv presenting novel methods for a computer vision task.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Researchers develop new methods for person re-identification despite clothing changes

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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Dong-Woo Kim, Tae-Kyun Kim ·

    Learning Instance-Adaptive Low-Rank Orthogonal Subspaces for Clothes-Changing Person Re-Identification

    arXiv:2606.11661v1 Announce Type: cross Abstract: Clothes-changing person re-identification (CC-ReID) aims to recognize individuals despite drastic appearance changes caused by clothing variation. While existing methods rely on adversarial learning to disentangle clothing feature…

  2. arXiv cs.CV TIER_1 English(EN) · Xulin Li, Yan Lu, Bin Liu, Jiaze Li, Yating Liu, Qi Chu, Mang Ye, Wanli Ouyang, Nenghai Yu ·

    Causal Clothes-Invariant Feature Learning for Cloth-Changing Person Re-ID

    arXiv:2305.06145v2 Announce Type: replace Abstract: In cloth-changing person re-identification (CCReID), it is critical to learn clothes-invariant feature, which can provide discriminative ID features that remain robust against clothing changes. However, a spurious correlation cu…

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