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Found 3 papers, 1 papers with code
A Closer Look at Personalization in Federated Image Classification
This paper shows that it is possible to achieve flexible personalization after the convergence of the global model by introducing representation learning.
Hard Class Rectification for Domain Adaptation
Second, we further consider that the predictions of target samples belonging to the hard class are vulnerable to perturbations.
Semi-supervised Domain Adaptation
Unsupervised Domain Adaptation
A^2Net: Adjacent Aggregation Networks for Image Raindrop Removal
Existing methods for single images raindrop removal either have poor robustness or suffer from parameter burdens.
