Few-Shot Image Classification via Mutual Distillation

Due to their compelling performance and appealing simplicity, metric-based meta-learning approaches are gaining increasing attention for addressing the challenges of few-shot image classification.However, many similar methods employ intricate network architectures, which can potentially lead to overfitting when trained with limited samples.To tackl

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