Self-supervised Agent Learning for Unsupervised Cross-Domain Person Re-identification

Unsupervised person re-identification (Re-ID) has better scalability and practicability than supervised Re-ID in the actual deployment. However, it is difficult to learn a discriminative Re-ID model without annotations. To address the above issue, we propose an end-to-end Self-supervised Agent Learn...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2020) vom: 20. Aug.
1. Verfasser:	Jiang, Kongzhu (VerfasserIn)
Weitere Verfasser:	Zhang, Tianzhu, Zhang, Yongdong, Wu, Feng, Rui, Yong
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2020
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article