cub200-2011

There are 0 repository 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.
deep-learning metric-learning deep-metric-learning image-retrieval cub200-2011 cars196 stanford-online-products wandb icml2020
Language:Python 341
lvyilin / pytorch-fgvc-dataset
PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
datasets pytorch-fgvc-dataset stanford-dogs stanford-cars fgvc-aircraft cub200-2011 inaturalist nabirds tiny-imagenet
Language:Python 140
clovaai / embedding-expansion
Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020)
cars196 cub200-2011 cvpr2020 deep-learning image-clustering image-retrieval metric-learning mxnet stanford-online-products synthesis
Language:Python 75
clovaai / symmetrical-synthesis
Official Tensorflow implementation of "Symmetrical Synthesis for Deep Metric Learning" (AAAI 2020)
metric-learning image-retrieval image-clustering deep-learning synthesis cars196 stanford-online-products cub200-2011 aaai2020 tensorflow
Language:Python 70
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.
deep-metric-learning cvpr2020 pytorch deep-learning retrieval cub200-2011 cars196 metric-learning
Language:Python 60
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
deep-metric-learning metric-learning deep-learning pytorch cub200-2011 cars196 stanford-online-products image-retrieval zero-shot-learning
Language:Python 41
PoDD
AsafShul / PoDD
Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.
bptt cifar10 cifar100 compression computer-vision cub200-2011 dataset-distillation deep-learning machine-learning tiny-imagenet
Language:Python 33
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.
deep-metric-learning metric-learning deep-learning image-retrieval wandb cub200-2011 cars196 stanford-online-products
Language:Python 33
Confusezius / Characterizing_Generalization_in_DeepMetricLearning
Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.
deep-metric-learning generalization out-of-distribution cub200-2011 cars196 stanford-online-products pytorch deep-learning
Language:Python 24
mv-lab / ViT-FGVC8
"Exploring Vision Transformers for Fine-grained Classification" at CVPRW FGVC8
vit transformers deep-learning computer-vision cvpr fine-grained-classification cub200-2011 stanford-dogs-dataset fgvc
Language:Jupyter Notebook 24
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
chest-xrays computer-vision explainable-ai medical-imaging explainability interpretability pytorch cub200-2011 ham10000 mimic-cxr vision-transformer icml-2023
Language:Jupyter Notebook 18
protopdebug
abonte / protopdebug
Implementation of Concept-level Debugging of Part-Prototype Networks
concept-based-models covid-19 cub200-2011 debugging deep-learning explainability iclr2023 machine-learning part-prototype-networks protopnet pytorch self-explainable-networks
Language:Python 11
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.
cub200-2011 imagenet iwslt knowledge-distillation label-smoothing machine-translation pytorch systematic-diffusion
Language:Python 11
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.
cub200-2011 dcgan gan pytorch text-to-image
Language:Jupyter Notebook 7
shantanu-ai / Explainability-with-LTH
Repository of the course project of CMU 16-824 Visual Learning and Recognition
computer-vision explainable-ai grad-cam-visualization lottery-ticket-hypothesis pruning tcav cnn deep-learning pytorch vlr 16-824 cub200-2011
Language:Jupyter Notebook 3
shiyegao / cub200
Whole dataset of CUB200-2011
cub200-2011 dataset download free
0

cub200-2011

Confusezius / Revisiting_Deep_Metric_Learning_PyTorch

lvyilin / pytorch-fgvc-dataset

clovaai / embedding-expansion

clovaai / symmetrical-synthesis

Confusezius / CVPR2020_PADS

MLforHealth / S2SD

AsafShul / PoDD

Confusezius / ECCV2020_DiVA_MultiFeature_DML

Confusezius / Characterizing_Generalization_in_DeepMetricLearning

mv-lab / ViT-FGVC8

batmanlab / ICML-2023-Route-interpret-repeat

abonte / protopdebug

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

yashashwita20 / text-to-image-using-GAN

shantanu-ai / Explainability-with-LTH

shiyegao / cub200