Papers by Jinshan Lai

1 papers
CO-EVO: Co-evolving Semantic Anchoring and Style Diversification for Federated DG-ReID (2026.acl-long)

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Challenge: Existing frameworks for person re-identification fail to provide global supervision . stylistic gaps in the model can lead to shortcut learning .
Approach: They propose a framework that aims to generalize a person's identity across multiple decentralized domains.
Outcome: The proposed framework achieves state-of-the-art (SOTA) performance . it can generalize to unseen target environments without compromising privacy .

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