- Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks [Dec 2020]
- Variational Transfer Learning for Fine-grained Few-shot Visual Recognition [Oct 2020]
- Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition [Jul 2020]
- Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition [Apr 2020]
- Compare More Nuanced-Pairwise Alignment Bilinear Network For Few-shot Fine-grained Learning [Apr 2019]
- Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning [Mar 2019]
- Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples [May 2018]
Created
December 24, 2020 16:21
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Papers working on fine grained visual recognition using less number of sample images
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