AI RESEARCH
Distilling the Past: Information-Dense and Style-Aware Replay for Lifelong Person Re-Identification
arXiv CS.CV
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ArXi:2508.01587v3 Announce Type: replace Lifelong person re-identification (LReID) aims to continuously adapt to new domains while mitigating catastrophic forgetting. While replay-based methods effectively alleviate forgetting, they are constrained by strict memory budgets, leading to limited sample diversity. Conversely, exemplar-free approaches bypass memory constraints entirely but struggle to preserve the fine-grained identity semantics crucial for Re-ID tasks. To resolve this fundamental dilemma, we propose an Information-Dense and Style-Aware Replay framework.