Abstract: We propose a low-shot image classification method called Limo, which can train an accurate image classification model under conditions of acute data scarcity. Limo uniquely assembles ...

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Abstract: Mixup-based data augmentation improves deep neural network performance by enhancing training diversity, while amplitude mixing further enriches image style variations, benefiting tasks such ...