Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification

Guangyi Chen; Yuhao Lu; Jiwen Lu; Jie Zhou

doi:10.1007/978-3-030-58598-3_38

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Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification

Guangyi Chen Yuhao Lu Jiwen Lu Jie Zhou

Year: 2020 Lecture notes in computer science Pages: 643-659 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-58598-3_38

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Keywords:

Computer science Artificial intelligence Credibility Metric (unit) Identification (biology) Similarity (geometry) Machine learning Domain adaptation Margin (machine learning) Scalability Domain (mathematical analysis) Adaptation (eye) Unsupervised learning Sample (material) Noise (video) Data mining Pairwise comparison Pattern recognition (psychology) Classifier (UML) Mathematics

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification

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