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 (BLK30K, MS)Mean Jaccard & F-Measure89.5Unverified
2LCMF-measure86.5Unverified
3XMemMean Jaccard & F-Measure86.2Unverified
4BATMANMean Jaccard & F-Measure86.2Unverified
5STCNMean Jaccard & F-Measure85.4Unverified
6AOTMean Jaccard & F-Measure84.9Unverified
7STMF-measure84.3Unverified
8TransVOSMean Jaccard & F-Measure83.9Unverified
9RPCMVOSMean Jaccard & F-Measure83.7Unverified
10RMNMean Jaccard & F-Measure83.5Unverified