Unsupervised Class-Imbalanced Domain Adaptation With Pairwise Adversarial Training and Semantic Alignment

Weili Shi; Ronghang Zhu; Sheng Li

doi:10.1109/tcsvt.2024.3427428

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Unsupervised Class-Imbalanced Domain Adaptation With Pairwise Adversarial Training and Semantic Alignment

Weili Shi Ronghang Zhu Sheng Li

Year: 2024 Journal: IEEE Transactions on Circuits and Systems for Video Technology Vol: 34 (12)Pages: 12411-12424 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tcsvt.2024.3427428

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Keywords:

Adversarial system Computer science Pairwise comparison Artificial intelligence Domain adaptation Class (philosophy) Adaptation (eye) Domain (mathematical analysis) Pattern recognition (psychology) Training set Machine learning Mathematics Classifier (UML)

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Unsupervised Class-Imbalanced Domain Adaptation With Pairwise Adversarial Training and Semantic Alignment

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