Jul 30, 2021 · We propose a novel approach named T-SVDNet to address the task of Multi-source Domain Adaptation (MDA), which is featured by incorporating Tensor Singular ...
These SDA methods can be roughly categorized into three groups according to the alignment strategies: (1) discrepancy-based methods aim to minimize the discrep-.
These SDA methods can be roughly categorized into three groups according to the alignment strategies: (1) discrepancy-based methods aim to minimize the discrep-.
A novel approach to address the task of Multi-source Domain Adaptation (MDA), which is featured by incorporating Tensor Singular Value Decomposition (T-SVD) ...
Duration: 14:08
Posted: Jul 22, 2024
Posted: Jul 22, 2024
Jul 31, 2024 · We propose an instance relation consistency method for decentralized multi-source domain adaptation (IRC-MSDA) to reduce the domain gap between ...
T-svdnet: Exploring high-order prototypical correlations for multi-source domain adaptation. R Li, X Jia, J He, S Chen, Q Hu. Proceedings of the IEEE/CVF ...
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2. T-SVDNet. 91.25. T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation ; 3. DSON. 90.38. Learning to Optimize Domain ...
2020. T-svdnet: Exploring high-order prototypical correlations for multi-source domain adaptation. R Li, X Jia, J He, S Chen, Q Hu. Proceedings of the IEEE/CVF ...
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation [ICCV2021]; Multi-Source Domain Adaptation for Object Detection ...