Transfer easy to hard: Adversarial contrastive feature learning for unsupervised person re-identification

Haoxuanye Ji; Le Wang; Sanping Zhou; Wei Tang; Nanning Zheng; Gang Hua

doi:10.1016/j.patcog.2023.109973

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Transfer easy to hard: Adversarial contrastive feature learning for unsupervised person re-identification

Haoxuanye Ji Le Wang Sanping Zhou Wei Tang Nanning Zheng Gang Hua

Year: 2023 Journal: Pattern Recognition Vol: 145 Pages: 109973-109973 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2023.109973

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Keywords:

Discriminative model Computer science Artificial intelligence Feature learning Feature (linguistics) Machine learning Adversarial system Identification (biology) Pattern recognition (psychology) Construct (python library) Process (computing) Transfer of learning

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Transfer easy to hard: Adversarial contrastive feature learning for unsupervised person re-identification

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