8 citations · 19 across the 7 of their papers we have counts for
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cs.CV2023★ 2 cited
Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation
Shuai Wang, Daoan Zhang, Zipei Yan +2
Source-free domain adaptation aims to adapt deep neural networks using only pre-trained source models and target data. However, accessing the source model still has a potential con…
cs.CV2022
Teaching What You Should Teach: A Data-Based Distillation Method
Shitong Shao, Huanran Chen, Zhen Huang +3
In real teaching scenarios, an excellent teacher always teaches what he (or she) is good at but the student is not. This gives the student the best assistance in making up for his…
cs.CV2022
Bootstrap Generalization Ability from Loss Landscape Perspective
Huanran Chen, Shitong Shao, Ziyi Wang +4
Domain generalization aims to learn a model that can generalize well on the unseen test dataset, i.e., out-of-distribution data, which has different distribution from the training…