A plug-and-play dual-space consistency learning framework adds class-wise spatial alignment and high-frequency contrastive losses to improve cross-modal re-identification across multiple benchmarks.
Try harder: Hard sample generation and learning for cloth-changing person re-id,
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Dual-Space Modality Consistency Learning for Universal Cross-Modal Re-Identification
A plug-and-play dual-space consistency learning framework adds class-wise spatial alignment and high-frequency contrastive losses to improve cross-modal re-identification across multiple benchmarks.