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Mutual distillation between two backbones with complementary properties (ie CNNs & ViTs) can promote each other, leading to better domain knowledge transfer.
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Sep 15, 2024 · Mutual distillation between two backbones with complementary properties (i.e. CNNs & ViTs) can promote each other, leading to better domain ...
CNNs/ViTs-CNNs/ViTs: Mutual distillation for unsupervised domain adaptation ... Unsupervised Domain Adaptation (UDA) is a popular machine learning ...
Unlike CNNs, which primarily focus on texture [49] , ViTs concentrate more on object shape, enhancing their resistance to texture shifts and benefiting shape ...
CNNs/ViTs-CNNs/ViTs: Mutual distillation for unsupervised domain adaptation. Information Sciences. 2023-04 | Journal article. DOI: 10.1016/j.ins.2022.11.129.
In this paper, we propose an unexplored direction -- the joint optimization of CNNs to provide a compressed model that is adapted to perform well for a given ...
Most domain adaptation (DA) methods are based on either a convolutional neural networks (CNNs) or a vision transformers (ViTs). They align the distribution ...
CNNs/ViTs-CNNs/ViTs: Mutual Distillation for Unsupervised Domain Adaptation. S Fu, J Chen, D Chen, C He. Information Sciences 622, 83-97, 2023. 11, 2023. GITA ...
Unsupervised domain adaptation (UDA) aims to trans- fer the knowledge learnt from a labeled source domain to an unlabeled target domain.
May 24, 2023 · Unsupervised domain adaptation (UDA) aims to transfer knowledge from a labeled source domain to a related unlabeled target domain.
Missing: ViTs- ViTs: