Exploring Homogeneous and Heterogeneous Consistent Label Associations for Unsupervised Visible-Infrared Person Re-Identification

Information Science, Computer Science, Artificial Intelligence,
homogeneous consistency   heterogeneous consistency   label associations   unsupervised learning   visible-infrared person re-identification  

Exploring Homogeneous and Heterogeneous Consistent Label Associations for Unsupervised Visible-Infrared Person Re-Identification Background Introduction Visible-Infrared Person Re-Identification (VI-ReID) is an important research direction in the field of computer vision, aiming to retrieve images of the same pedestrian from different modalities (v...