AI RESEARCH
Dual-Prompt CLIP with Hybrid Visual Encoders for Occluded Person Re-Identification
arXiv CS.CV
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ArXi:2605.19527v1 Announce Type: new Occluded person re-identification focuses on matching partially visible pedestrians across multiple camera views. However, occlusions disrupt body-region cues, thereby complicating cross-view matching. Most person ReID methods built on pretrained vision-language models only focus on enhancing prompt-based feature learning while ignoring the semantic information of occluders. Based on the success of CLIP-ReID, we propose a novel Dual Prompt Learning ReID (DPL-ReID) model for occluded person ReID.