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pro vyhledávání: '"Mekhazni, Djebril"'
Systems for person re-identification (ReID) can achieve a high accuracy when trained on large fully-labeled image datasets. However, the domain shift typically associated with diverse operational capture conditions (e.g., camera viewpoints and lighti
Externí odkaz:
http://arxiv.org/abs/2211.03626
Autor:
Remigereau, Félix, Mekhazni, Djebril, Abdoli, Sajjad, Nguyen-Meidine, Le Thanh, Cruz, Rafael M. O., Granger, Eric
Despite the recent success of deep learning architectures, person re-identification (ReID) remains a challenging problem in real-word applications. Several unsupervised single-target domain adaptation (STDA) methods have recently been proposed to lim
Externí odkaz:
http://arxiv.org/abs/2205.06237
Person re-identification (ReID) remains a challenging task in many real-word video analytics and surveillance applications, even though state-of-the-art accuracy has improved considerably with the advent of deep learning (DL) models trained on large
Externí odkaz:
http://arxiv.org/abs/2007.13890