
提案されたPCLMP方法は、USVI-ReIDタスクにおいて、共通性と多様性の両方を学習することを可能にします。


coremsg

progressive-contrastive-learning-with-multi-prototype-for-unsupervised-visible-infrared-person-re-identification


Progressive Contrastive Learning with Multi-Prototype for Unsupervised Visible-Infrared Person Re-identification


title_rewrite


The core message of this paper is to propose a novel unsupervised framework for visible-infrared person re-identification (VI-ReID) that addresses the challenges of noisy pseudo-labels and large modality gaps between visible and infrared images.


unsupervised-visible-infrared-person-re-identification-via-pseudo-label-correction-and-modality-level-alignment


Unsupervised Visible-Infrared Person Re-Identification via Pseudo-Label Correction and Modality-Level Alignment
