Christine620

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

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++.

Visualizer

assistant tools for attention visualization in deep learning

vision-transformers-cifar10

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

EmotionUI

Software for Facial Expression Recognition UI

network-slimming

Network Slimming (Pytorch) (ICCV 2017)

slimming

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

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

delight

DeLighT: Very Deep and Light-Weight Transformers

FFVT

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

pytorch-metric-learning

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

TorchUtils

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

insightface

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

hav4ik.github.io

My personal blog

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

Knowledge-Distillation-Zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

Swin-Transformer

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

Transformer-in-Computer-Vision

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

convit

Code for the Convolutional Vision Transformer (ConViT)

HAT-Net

Vision Transformers with Hierarchical Attention

ResT

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

cap

AutoAugment

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

noah-research

Noah Research

CVPR-2021-Papers

ViT-pytorch

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

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).

deit

Official DeiT repository