Models and examples built with TensorFlow

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

OpenMMLab Detection Toolbox and Benchmark

Image-to-Image Translation in PyTorch

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

A list of all named GANs!

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Implementation of Graph Convolutional Networks in TensorFlow

Solve Visual Understanding with Reinforced VLMs

A PyTorch Implementation of Single Shot MultiBox Detector

A simple, fully convolutional model for real-time instance segmentation.

An easy to use PyTorch to TensorRT converter

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation

Visual tracking library based on PyTorch.

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

A PyTorch implementation of the YOLO v3 object detection algorithm

Awesome work on hand pose estimation/tracking

Dual Attention Network for Scene Segmentation (CVPR2019)

pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19)

A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Several simple examples for popular neural network toolkits calling custom CUDA operators.