Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

unet for image segmentation

Pytorch implementation of FlowNet by Dosovitskiy et al.

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Graph Convolutional Networks in PyTorch

(2020-2022)The PyTorch version of SiamFC，SiamRPN，DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCAR, SiamBAN, Ocean, LightTrack , TrTr, NanoTrack; Visual object tracking based on…

Command-line JSON processor

The official VOT Challenge evaluation and analysis toolkit

Python Single Object Tracking Evaluation

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

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

[ECCV'20] Ocean: Object-aware Anchor-Free Tracking

Custom implementation of Corrleation Module

MAST: A Memory-Augmented Self-supervised Tracker (CVPR 2020)

Pytorch implementation of Graph U-Nets (ICML19)

OpenMMLab Detection Toolbox and Benchmark

A faster pytorch implementation of faster r-cnn

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

Siamese and triplet networks with online pair/triplet mining in PyTorch

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding a…

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning