Part-Attention Based Model Enhances Occluded Person Re-Identification

A novel part-attention based model (PAB-ReID) is proposed to effectively address the challenges in occluded person re-identification by leveraging human parsing labels to generate accurate part attention maps, a fine-grained feature focuser to suppress background interference, and a part triplet loss to learn robust local features.