Mobulan's repositories
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
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
FFVT
The official PyTorch implementation of Feature Fusion Vision Transformer for Fine-Grained Visual Categorization (BMVC 2021).
ELP
Code for A Simple Episodic Linear Probe Improves Visual Recognition in the Wild
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
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