There are 6 repositories under fine-grained-visual-categorization topic.
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
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).
Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
Code release for Fine-Grained Visual Classiﬁcation via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)
[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)
Python API for Fashionpedia Dataset
Pytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification (TIP2021)
Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)
PFNet: A Novel Part Fusion Network for Fine-grained Visual Categorization
Code release for the paper BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. (TIP2020)
Code for paper "Learning Semantically Enhanced Feature for Fine-grained Image Classification"
This is an implementation of compact bilinear CNN using keras
A collection of differentiable SVD methods and also the official implementation of the ICCV21 paper "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"
Progressive Co-Attention Network for Fine-Grained Visual Classification
The source code for the TMM paper: Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection Network
Bilinear CNNs in PyTorch
Fine-Grained Visual Classification for Plants & Flowers
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features
PyTorch Code for Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification
PyTorch code for the ICME 2021 paper Selective, Structural, Subtle: Trilinear Spatial-Awareness for Few-Shot Fine-Grained Visual Recognition.
unofficial PyTorch implementation of Look into object paper (CVPR2020).
Fine-grained classification of 200 species of birds
Fine-Grained Image Classification on Stanford Cars
FGVC project with the Stanford Dogs dataset.
The repository contains supplementary material to my Master's thesis - Fine-grained Visual Recognition with Side Information