ViSA proposes expert-driven token generation and dual-branch local fusion modules for view-aware semantic alignment in AGPReID, reporting up to 10.06% mAP gains on the CARGO benchmark.
Bridging the sky and ground: To- wards view-invariant feature learning for aerial-ground per- son re-identification
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View-Aware Semantic Alignment for Aerial-Ground Person Re-Identification
ViSA proposes expert-driven token generation and dual-branch local fusion modules for view-aware semantic alignment in AGPReID, reporting up to 10.06% mAP gains on the CARGO benchmark.