SuperAKK

AdelaiDet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

DPVO

Deep Patch Visual Odometry/SLAM

Co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Transformer-in-Vision

Recent Transformer-based CV and related works.

TransMVSNet

(CVPR 2022) TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers.

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

MAE-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

VirtualCapsuleEndoscopy

VR-Caps: A Virtual Environment for Active Capsule Endoscopy

sccl

Pytorch implementation of Supporting Clustering with Contrastive Learning, NAACL 2021

msdesis

MSDESIS: Multi-task stereo disparity estimation and surgical instrument segmentation

CADLab

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

3D-ResNets-PyTorch

3D ResNets for Action Recognition (CVPR 2018)

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

RAFT-Stereo

big_transfer

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

hypernerf

Code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".

UACANet

Official PyTorch implementation of UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation (ACMMM 2021)

ZeroShotVideoClassification

Zero-shot video classification by end-to-end training of 3D convolutional neural networks

ResNeSt

ResNeSt: Split-Attention Networks

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

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).

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).

CoTNet

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

PraNet

PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.

video-classification

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

TorchSemiSeg

[CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision