Christine620

insightface

State-of-the-art 2D and 3D Face Analysis Project

Swin-Transformer

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

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

deit

Official DeiT repository

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

CVPR-2021-Papers

ViT-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

Knowledge-Distillation-Zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

AutoAugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

Transformer-in-Computer-Vision

A paper list of some recent Transformer-based CV works.

Visualizer

assistant tools for attention visualization in deep learning

network-slimming

Network Slimming (Pytorch) (ICCV 2017)

noah-research

Noah Research

slimming

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

vision-transformers-cifar10

Let's train vision transformers (ViT) for cifar 10!

delight

DeLighT: Very Deep and Light-Weight Transformers

convit

Code for the Convolutional Vision Transformer (ConViT)

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).

xdupgthesis

[停止维护 请使用note286/xduts]西安电子科技大学研究生学位论文XeLaTeX模板

ResT

This is an official implementation for "ResT: An Efficient Transformer for Visual Recognition".

CAL

[ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

API-Net

Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020

HAT-Net

Vision Transformers with Hierarchical Attention

TorchUtils

(WIP) TorchUtils is a pytorch library with several useful tools and training tricks.

cap

Gcam

Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention maps with multiple methods like Guided Backpropagation, Grad-Cam, Guided Grad-Cam and Grad-Cam++.

FFVT

[BMVC 2021] The official PyTorch implementation of Feature Fusion Vision Transformer for Fine-Grained Visual Categorization

EmotionUI

Software for Facial Expression Recognition UI

hav4ik.github.io

My personal blog