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MetaDefa: Meta-learning based on Domain Enhancement and Feature Alignment for Single Domain Generalization
The single domain generalization(SDG) based on meta-learning has emerged as an effective technique for solving the domain-shift problem.
Double Reverse Regularization Network Based on Self-Knowledge Distillation for SAR Object Classification
In current synthetic aperture radar (SAR) object classification, one of the major challenges is the severe overfitting issue due to the limited dataset (few-shot) and noisy data.
Dual-stream contrastive predictive network with joint handcrafted feature view for SAR ship classification
Most existing synthetic aperture radar (SAR) ship classification technologies heavily rely on correctly labeled data, ignoring the discriminative features of unlabeled SAR ship images.
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