FEDSNet improves few-shot fine-grained image classification by fusing spatial texture and frequency-based structural subspaces to reduce noise overfitting.
Corner detection and classification using anisotropic directional derivative representations.IEEE Transactions on Image Processing,2013,501, 3204-3218
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Frequency-Enhanced Dual-Subspace Networks for Few-Shot Fine-Grained Image Classification
FEDSNet improves few-shot fine-grained image classification by fusing spatial texture and frequency-based structural subspaces to reduce noise overfitting.