cub200-2011

There are 16 repositories under cub200-2011 topic.

  • Revisiting_Deep_Metric_Learning_PyTorch

    Confusezius/Revisiting_Deep_Metric_Learning_PyTorch

    (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.

    Language:Python34191851

  • lvyilin/pytorch-fgvc-dataset

    PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017

    Language:Python1434223

  • clovaai/embedding-expansion

    Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020)

    Language:Python75619

  • clovaai/symmetrical-synthesis

    Official Tensorflow implementation of "Symmetrical Synthesis for Deep Metric Learning" (AAAI 2020)

    Language:Python708112

  • Confusezius/CVPR2020_PADS

    (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet mining with Reinforcement Learning.

    Language:Python60519
  • S2SD

    MLforHealth/S2SD

    (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv.org/abs/2009.08348

    Language:Python41426

  • Confusezius/ECCV2020_DiVA_MultiFeature_DML

    (ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.13458), which extends vanilla DML with auxiliary and self-supervised features.

    Language:Python333611
  • PoDD

    AsafShul/PoDD

    Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.

    Language:Python32301

  • Confusezius/Characterizing_Generalization_in_DeepMetricLearning

    Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.

    Language:Python24301

  • mv-lab/ViT-FGVC8

    "Exploring Vision Transformers for Fine-grained Classification" at CVPRW FGVC8

    Language:Jupyter Notebook243010

  • batmanlab/ICML-2023-Route-interpret-repeat

    Official repository of ICML 2023 paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat

    Language:Jupyter Notebook19313
  • protopdebug

    abonte/protopdebug

    Implementation of Concept-level Debugging of Part-Prototype Networks

    Language:Python11100

  • sutd-visual-computing-group/LS-KD-compatibility

    [ICML 2022] This work investigates the compatibility between label smoothing (LS) and knowledge distillation (KD). We suggest to use an LS-trained teacher with a low-temperature transfer to render high performance students.

    Language:Python11105
  • text-to-image-using-GAN

    yashashwita20/text-to-image-using-GAN

    This is a PyTorch-based implementation of the Generative Adversarial Text-to-Image Synthesis paper, utilizing a GAN architecture inspired by DCGAN with text descriptions as inputs to generate images.

    Language:Jupyter Notebook8212

  • shantanu-ai/Explainability-with-LTH

    Repository of the course project of CMU 16-824 Visual Learning and Recognition

    Language:Jupyter Notebook4100

  • shiyegao/cub200

    Whole dataset of CUB200-2011

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