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Phase-Aware Spatial-Frequency Fusion for Few-Shot Fine-Grained Image Classification
Few-shot fine-grained image classification (FSFGIC) aims to classify similar images with limited labeled examples. This work highlights the critical yet underutilized role of phase information in capturing structural relationships within an image. This study introduces a novel plug-and-play amplitud
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