Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for k...
SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.
This is the pytorch implementation of the CVPR2020 paper "Memory aggregation networks for efficient interactive video object segmentation".
Pytorch implementation of ECCV2020 paper, "Interactive Video Object Segmentation Using Global and Local Transfer Modules"
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
翻译 - 有关语义分割，实例分割，全景分割和视频分割的论文和基准
Interactive Object Segmentation with Inside-Outside Guidance
One-Shot Video Object Segmentation
PaddleSeg是基于飞桨PaddlePaddle开发的端到端图像分割开发套件，涵盖了高精度和轻量级等不同方向的大量高质量分割模型。通过模块化的设计，提供了配置化驱动和API调用两种应用方式，帮助开发者更便捷地完成从训练到部署的全流程图像分割应用。
Reviving Iterative Training with Mask Guidance for Interactive Segmentation
Face Video Segmentation - Face segmentation ground truth from videos
Spatiotemporal CNN for Video Object Segmentation
A framework for interactive, real-time 3D scene segmentation
#计算机科学#[ICCV 2023] Tracking Anything with Decoupled Video Segmentation
Mask-Free Video Instance Segmentation [CVPR 2023]
Main repository for The Video Segmentation Project
Video Object Segmentation using Space-Time Memory Networks
Getting to 99% Accuracy in Interactive Segmentation and Interactive Training and Architecture for Deep Object Selection
Convolutional LSTM for video segmentation with Keras
A list of video object segmentation (VOS) papers
PyTorch implementation of One-Shot Video Object Segmentation (OSVOS)