Semi-Supervised Learning With Heterogeneous Distribution Consistency for Visible Infrared Person Re-Identification

Visible infrared person re-identification (VI-ReID) exposes considerable challenges because of the modality gaps between the person images captured by daytime visible cameras and nighttime infrared cameras. Several fully-supervised VI-ReID methods have improved the performance with extensive labeled...

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Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 20., Seite 3880-3892
Auteur principal: Wei, Ziyu (Auteur)
Autres auteurs: Yang, Xi, Wang, Nannan, Gao, Xinbo
Format: Article en ligne
Langue:English
Publié: 2024
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article