AI RESEARCH
View-Aware Semantic Alignment for Aerial-Ground Person Re-Identification
arXiv CS.CV
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ArXi:2605.18192v1 Announce Type: new Aerial-Ground Person Re-Identification (AGPReID) remains highly challenging due to drastic viewpoint variations between drones and fixed cameras. Existing methods typically follow a view-invariant paradigm, aligning shared features across views to achieve robustness. However, view-invariant inherently enforces part-level alignment, which ignores view-specific cues and discriminative identity information.