cub-200-2011

There are 11 repositories under cub-200-2011 topic.

  • songdejia/DFL-CNN

    This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

    Language:Python26741760

  • ZF4444/MMAL-Net

    This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).

    Language:Python24754454

  • layumi/3D-Magic-Mirror

    :dress:3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective:dress: Single-View 3D Reconstruction

    Language:Python68425
  • caltech_birds

    ecm200/caltech_birds

    A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

    Language:Jupyter Notebook412297

  • ahmdtaha/tf_retrieval_baseline

    A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

    Language:Python39516

  • HarshSulakhe/siamesenetworks-pytorch

    An implementation of Contrastive Loss in PyTorch using Siamese Networks

    Language:Jupyter Notebook25219

  • lehduong/poodle

    Official implementation of POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples (NeurIPS 2021)

    Language:Python15111

  • Madscientist833/FGCF

    Course project for programming in AI 22fall (Peking university)

    Language:Jupyter Notebook1100

  • samisoto/keras_cosine_based_loss

    Keras Custom Layers of AdaCos and ArcFace contains experiments in caltech birds 2011(CUB-200-2011).

    Language:Python1201

  • untitledunmastered1998/DistillationLab

    Image Classification Training Framework for Network Distillation

    Language:Python1200

  • sandipan211/DiRaC-I

    Intelligent algorithm for selecting suitable training classes for zero-shot object recognition that capture domain diversity and rarity

    Language:Python10