FEDSNet improves few-shot fine-grained image classification by fusing spatial texture and frequency-based structural subspaces to reduce noise overfitting.
Contour-based corner detection via angle difference of principal directions of anisotropic Gaussian directional derivatives.Pattern Recognition,2015,48, 2785-2797
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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.