There are 16 repositories under video-segmentation topic.
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
An OBS plugin for removing background in portrait images (video), making it easy to replace the background when recording or streaming.
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
[ICCV 2023] Tracking Anything with Decoupled Video Segmentation
Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
A contrastive learning based semi-supervised segmentation network for medical image segmentation
[CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation
PyTorch implementation of One-Shot Video Object Segmentation (OSVOS)
[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!
Mask-Free Video Instance Segmentation [CVPR 2023]
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)
[ICCV 2023] MOSE: A New Dataset for Video Object Segmentation in Complex Scenes
[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web
FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding
Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
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 Challenge.
[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code :star2:. Semi-supervised video object segmentation evaluation.
Video Object Segmentation
Implemenation of the paper: "Video Segmentation via Object Flow", Y.-H. Tsai, M.-H. Yang and M. J. Black, CVPR 2016
Literature Review for Interactive annotation/segmentation
[ACM MM22] Towards Robust Video Object Segmentation with Adaptive Object Calibration, ACM Multimedia 2022
CPU compatible fork of the official SAMv2 implementation aimed at more accessible and documented tutorials
ROS package for SOTA Computer Vision Models including SAM, Cutie, GroundingDINO, YOLO-World, VLPart, DEVA and MaskDINO.
Unseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)
Fast and general video object segmentation evaluation.