Motion Expressions Guided Video Segmentation
1 papers with code • 0 benchmarks • 0 datasets
Given a video and an expression describing the motion clues of the target object(s), MeViS requires to segment and track the target object(s) accurately.
Benchmarks
These leaderboards are used to track progress in Motion Expressions Guided Video Segmentation
No evaluation results yet. Help compare methods by
submitting
evaluation metrics.
Most implemented papers
MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
To investigate the feasibility of using motion expressions to ground and segment objects in videos, we propose a large-scale dataset called MeViS, which contains numerous motion expressions to indicate target objects in complex environments.