Learning from Yourself to Others for Unsupervised Visible-Infrared Re-Identification
Unsupervised visible-infrared person re-identification (US-VI-ReID) aims to match unlabeled pedestrian images captured under varying lighting conditions. The key challenge lies in generating […]
MDANet: Modality-Aware Domain Alignment Network for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification is a challenging task in video surveillance. Most existing works achieve performance gains by aligning feature distributions or image […]
Discovering attention-guided cross-modality correlation for visible–infrared person re-identification
Visible–infrared person re-identification (VI Re-ID) is an essential and challenging task. Existing studies mainly focus on learning the unified modality-invariant representations directly […]