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cs.CV2024★ 4 cited
Semi-Supervised Transfer Boosting (SS-TrBoosting)
Lingfei Deng, Changming Zhao, Zhenbang Du +2
Semi-supervised domain adaptation (SSDA) aims at training a high-performance model for a target domain using few labeled target data, many unlabeled target data, and plenty of auxi…
cs.CV2023
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach
Zhenbang Du, Jiayu An, Yunlu Tu +2
Open Set Domain Adaptation (OSDA) aims to cope with the distribution and label shifts between the source and target domains simultaneously, performing accurate classification for k…