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acnet

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

acnet-data-analysis

ACNet训练数据分析

bi-frn

Code release for Bi-Directional Feature Reconstruction Network for Fine-grained Few-shot Image Classification

datastruct

elp

Code for A Simple Episodic Linear Probe Improves Visual Recognition in the Wild

ffvt

The official PyTorch implementation of Feature Fusion Vision Transformer for Fine-Grained Visual Categorization (BMVC 2021).

fgvc-pim

Pytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.

finegan

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

ielt

Source code of the paper Fine-Grained Visual Classification via Internal Ensemble Learning Transformer

interpretability-by-parts

Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)

mpsa

Source code of the paper Multi-grained Part Sampling Attention for Fine-grained Visual Classification

nts-net

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).

p2p-net

Official implementation of "Fine-Grained Object Classification via Self-Supervised Pose Alignment".

prototree

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

pytorch-fgvc-dataset

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

slic-python-implementation

🖼The python implementation to make superpixels by slic.

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

swinir

SwinIR: Image Restoration Using Swin Transformer

transfg

This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

twins

Two simple and effective designs of vision transformer, which is on par with the Swin transformer

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch