most citedMulti-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification

29 citations · 33 across the 2 of their papers we have counts for

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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…