Skip to content

Instantly share code, notes, and snippets.

Show Gist options
  • Save skrish13/d1568399735a4d790a174d4b303dbe17 to your computer and use it in GitHub Desktop.
Save skrish13/d1568399735a4d790a174d4b303dbe17 to your computer and use it in GitHub Desktop.
Papers working on fine grained visual recognition using less number of sample images
  • 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]
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment