SOTAVerified

Video Object Segmentation

Video object segmentation is a binary labeling problem aiming to separate foreground object(s) from the background region of a video.

For leaderboards please refer to the different subtasks.

Papers

Showing 110 of 551 papers

TitleStatusHype
SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction0
Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation0
MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation0
M^3-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object SegmentationCode1
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation0
VideoMolmo: Spatio-Temporal Grounding Meets PointingCode2
InterRVOS: Interaction-aware Referring Video Object Segmentation0
Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System CollaborationCode2
ThinkVideo: High-Quality Reasoning Video Segmentation with Chain of ThoughtsCode0
Long-RVOS: A Comprehensive Benchmark for Long-term Referring Video Object Segmentation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1XMem (BL30K,MS)Mean Jaccard & F-Measure86.8Unverified
2XMemMean Jaccard & F-Measure85.5Unverified
3BATMANMean Jaccard & F-Measure85Unverified
4AOTMean Jaccard & F-Measure84.1Unverified
5RPCMVOSMean Jaccard & F-Measure83.9Unverified
6MobileVOSMean Jaccard & F-Measure83.3Unverified
7STCNMean Jaccard & F-Measure82.7Unverified
8CFBI+Mean Jaccard & F-Measure82.6Unverified
9SSTMean Jaccard & F-Measure81.8Unverified
10CFBIMean Jaccard & F-Measure81Unverified