Part-Attention Based Model Make Occluded Person Re-Identification Stronger

arXiv:2404.03443v1 Announce Type: new
Abstract: The goal of occluded person re-identification (ReID) is to retrieve specific pedestrians in occluded situations. However, occluded person ReID still suffers from background clutter and low-quality local feature representations, which limits model performance. In our research, we introduce a new framework called PAB-ReID, which is a novel ReID model incorporating part-attention mechanisms to tackle the aforementioned issues effectively. Firstly, we introduce the human parsing label to guide the generation of more accurate human part attention …

abstract arxiv attention cs.cv feature framework however identification low novel part pedestrians performance person quality research type