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action-recognition-models-pytorch

The models of action recognition with pytorch

albumentations

Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125

anomaly-toolbox

Anomaly detection using GANs.

aslfeat

Implementation of CVPR'20 paper - ASLFeat: Learning Local Features of Accurate Shape and Localization

awesome-cbir-papers

📝Awesome and classical image retrieval papers

awesome-data-augmentation

This is a list of awesome methods about data augmentation.

awesome-image-classification

A curated list of deep learning image classification papers and codes

awesome-pretrained-chinese-nlp-models

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

backgroundmattingv2

Real-Time High-Resolution Background Matting

bigan

code for "Adversarial Feature Learning"

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

cornernet

cv-backbones

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

cvpr2019

AAAI，极市团队整理

d2-net

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

dcn.pytorch

PyTorch implementation of Deformable Convolution Networks (Supports Pytorch 1.0)

deep_gcns

Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral

deep_gcns_torch

Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral

delf-pytorch

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

densenet-pytorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

dualrc-net

faiss

A library for efficient similarity search and clustering of dense vectors.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gl3d

GL3D (Geometric Learning with 3D Reconstruction): a large-scale database created for 3D reconstruction and geometry-related learning problems

hello_world

just test

imbalanced_learning

imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.