Open-World Video Segmentation
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Benchmarks
BURST-val
Most implemented
Tracking Anything with Decoupled Video Segmentation
Papers
Open-World Video Segmentation
While video segmentation has advanced rapidly on short clips and closed-set benchmarks, open-world video segmentation remains largely unexplored. The challenge is twofold: (1) existing methods are not designed to support…
Open-World Video SegmentationVideoSAM: Open-World Video Segmentation
Video segmentation is essential for advancing robotics and autonomous driving, particularly in open-world settings where continuous perception and object association across video frames are critical. While the Segment An…
Autonomous DrivingDecoderImage SegmentationObject+6Tracking Anything with Decoupled Video Segmentation
Training data for video segmentation are expensive to annotate. This impedes extensions of end-to-end algorithms to new video segmentation tasks, especially in large-vocabulary settings. To 'track anything' without train…
Open-Vocabulary Video SegmentationOpen-World Video SegmentationPanoptic SegmentationReferring Expression Segmentation+9Opening Up Open World Tracking
Tracking and detecting any object, including ones never-seen-before during model training, is a crucial but elusive capability of autonomous systems. An autonomous agent that is blind to never-seen-before objects pos…
Multi-Object TrackingObjectObject TrackingOpen-World Video Segmentation