One-Shot Video Object Segmentation
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
翻译 - OpenMMLab视频感知工具箱。它通过统一的框架支持单对象跟踪（SOT），多对象跟踪（MOT），视频对象检测（VID）。
Video Object Segmentation
One-Shot Video Object Segmentation
A list of video object segmentation (VOS) papers
[CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation
PyTorch implementation of One-Shot Video Object Segmentation (OSVOS)
Video Object Segmentation using Space-Time Memory Networks
Referring Video Object Segmentation / Multi-Object Tracking Repo
Spatiotemporal CNN for Video Object Segmentation
Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Cha...
RVOS: End-to-End Recurrent Network for Video Object Segmentation (CVPR 2019)
A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.
Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)
How to run Object Detection and Segmentation on a Video Fast for Free
Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"
An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation