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32 search results found

Nts Net ⭐ 395

This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).

Class Balanced Loss ⭐ 349

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

Mutual Channel Loss ⭐ 223

Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)

Dfl Cnn ⭐ 211

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

Repnet Mdnet Vehiclereid ⭐ 162

Implementing RepNet(a two-stream multitask learning network) to do vehicle Re-identification, vehicle search(or vehicle match) with PyTorch 可用于车辆细粒度识别，车辆再识别，车辆匹配，车辆检索，RepNet/MDNet的一种PyTorch实

Pmg Progressive Multi Granularity Training ⭐ 138

Code release for Fine-Grained Visual Classiﬁcation via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)

Attribute Aware Attention ⭐ 124

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

Ws_dan_pytorch ⭐ 112

PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)

Interpretability By Parts ⭐ 55

[CVPR 2020 Oral] Interpretable and Accurate Fine-grained Recognition via Region Grouping

Differentiablesvd ⭐ 51

A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"

Fine Grained Or Not ⭐ 49

Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)

Prototree ⭐ 46

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

Onlinelabelsmoothing ⭐ 45

The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment

Cvpr2022 Task Discrepancy Maximization For Fine Grained Few Shot Classification ⭐ 28

Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)

Fine Grained Visual Analysis Library ⭐ 24

FGVCLib is an open-source and well documented library for Fine-grained Visual Classification.

Accv2022_fgia_1st ⭐ 23

1st solution for the Webly-supervised Fine-grained Recognition competition in https://www.cvmart.net/race/10412/base

Deep Metric Learning Tsinghua Dogs ⭐ 22

Dogs classification with Deep Metric Learning

Figet Hyperbolic Space ⭐ 20

Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"

Push And Pull Network ⭐ 20

The official implementation of P^2Net (Push-and-Pull Network) for fine-grained ship classification in remote sensing images

Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments

Fitness Aqa ⭐ 16

Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]

Learning_embeddings ⭐ 15

Code for CVPR-W 2020 paper "Hierarchical Image Classification using Entailment Cone Embeddings" https://arxiv.org/abs/2004.03459

Making A Bird Ai Expert Work For You And Me ⭐ 11

Code release for "Making a Bird AI Expert Work for You and Me (TPAMI 2023)".

Fine_grained.pytorch ⭐ 9

This is a PyTorch implementation of Kaggle's Cassava Disease Visual Classification challenge (5th place in private leaderboard)

Bsfa Fsfg ⭐ 9

[TCSVT23] Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment

[Pattern Recognition] Mix-ViT: Mixing Attentive Vision Transformer for Ultra-Fine-Grained Visual Categorization.

St Protopnet ⭐ 6

[ICCV 2023] Learning Support and Trivial Prototypes for Interpretable Image Classification

Bcnn.pytorch ⭐ 6

Bilinear CNNs in PyTorch

Dl4cv_team50 ⭐ 5

Final project for the course Deep Learning for Computer Vision at TUM. Contributors: Amir Biran, Victor Aliende Da Matta, Giorgio Fabbro, Magnus Lindström, Paolo Notaro

Snapmix Tensorflow2 ⭐ 5

tensorflow2 implementation of SnapMix as described in SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data

Code for Graph-based High-Order Relation Discovery for Fine-grained Recognition in CVPR 2021

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