Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"
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Updated
Jun 25, 2024 - Python
Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"
[CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation
A curated list of video object segmentation (vos) papers, datasets, and projects.
ROS compatible package for object tracking based on SAM, Cutie, GroundingDINO, YOLO-World, VLPart and DEVA
Tracking through Containers and Occluders in the Wild (CVPR 2023) - Official Implementation
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
Code release for "UniVS: Unified and Universal Video Segmentation with Prompts as Queries" (CVPR2024)
[ICCV 2023] Tracking Anything with Decoupled Video Segmentation
[CVPR 2024] Depth-aware Test-Time Training for Zero-shot Video Object Segmentation
IST-ROS: Interactive Segmentation and Tracking for ROS, is a package based on integration of Segment Anything Model with semi-supervised video object segmentation method, for flexible object segmentation and tracking in ROS-based systems.
[CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale
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 key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
[FAIML 2024] A Spatiotemporal Mask Autoencoder for One-shot Video Object Segmentation
Associating Objects with Transformers for Video Object Segmentation
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
[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!
A tool for efficient semi-supervised video object segmentation (great results with minimal manual labor) and a dataset for benchmarking
[ICCV 2023] Learning Fine-Grained Features for Pixel-wise Video Correspondences
[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code 🌟. Semi-supervised video object segmentation evaluation.
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