Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification

Fang Zhao; Shengcai Liao; Guo-Sen Xie; Jian Zhao; Kaihao Zhang; Ling Shao

doi:10.1007/978-3-030-58621-8_31

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Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification

Fang Zhao Shengcai Liao Guo-Sen Xie Jian Zhao Kaihao Zhang Ling Shao

Year: 2020 Lecture notes in computer science Pages: 526-544 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-58621-8_31

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Keywords:

Computer science Cluster analysis Artificial intelligence Noise (video) Identification (biology) Task (project management) Domain (mathematical analysis) Machine learning Pattern recognition (psychology) Selection (genetic algorithm) Mutual information Class (philosophy) Domain adaptation Adaptation (eye) Noise reduction Artificial neural network Divergence (linguistics) Data mining Image (mathematics)

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Face recognition and analysis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification

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