AI RESEARCH
Beyond Visual Cues: Semantic-Driven Token Filtering and Expert Routing for Anytime Person ReID
arXiv CS.CV
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ArXi:2604.15090v1 Announce Type: new Any-Time Person Re-identification (AT-ReID) necessitates the robust retrieval of target individuals under arbitrary conditions, encompassing both modality shifts (daytime and nighttime) and extensive clothing-change scenarios, ranging from short-term to long-term intervals. However, existing methods are highly relying on pure visual features, which are prone to change due to environmental and time factors, resulting in significantly performance deterioration under scenarios involving illumination caused modality shifts or cloth-change.