Abstract: Deep learning models' generalization ability is severely hampered in cross-scene hyperspectral image (HSI) classification due to domain shift. Although domain generalization (DG) is a ...
Abstract: Federated domain generalization (FedDG) aims to improve the global model’s generalization ability in unseen domains by addressing data heterogeneity under privacy-preserving constraints. A ...
Deep learning models in medical image analysis often struggle with generalizability across domains and demographic groups due to data heterogeneity and scarcity. Traditional augmentation improves ...
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