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.
Demo: Decoupled feature-based mixture of experts for multi-modal object re-identification.AAAI, 39(8):8141– 8149, 2025
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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.