uncbiag/LiVOS
LiVOS: Light Video Object Segmentation with Gated Linear Matching (CVPR 2025)
This tool helps researchers and computer vision engineers accurately identify and track specific objects across a series of video frames. You input a video and an initial mask or annotation for an object, and it outputs a sequence of frames with the object precisely outlined. It is ideal for those working on tasks requiring detailed object tracking in video content.
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Use this if you need to precisely segment and track a specific object through an entire video sequence, especially in research or advanced computer vision applications.
Not ideal if you need a user-friendly interface for general video editing or if you only need coarse object detection rather than pixel-level segmentation.
Stars
45
Forks
3
Language
Python
License
MIT
Category
Last pushed
Sep 01, 2025
Commits (30d)
0
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