Domain consensual contrastive learning for few-shot universal domain adaptation

Haojin Liao; Qiang Wang; Sicheng Zhao; Tengfei Xing; Runbo Hu

doi:10.1007/s10489-023-04890-0

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Domain consensual contrastive learning for few-shot universal domain adaptation

Haojin Liao Qiang Wang Sicheng Zhao Tengfei Xing Runbo Hu

Year: 2023 Journal: Applied Intelligence Vol: 53 (22)Pages: 27191-27206 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-023-04890-0

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Keywords:

Computer science Domain (mathematical analysis) Discriminative model Benchmark (surveying) Domain adaptation Artificial intelligence Set (abstract data type) Matching (statistics) Adaptation (eye) Machine learning Pattern recognition (psychology) Natural language processing Classifier (UML) Statistics

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain consensual contrastive learning for few-shot universal domain adaptation

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