SOTAVerified

Video Segmentation

Papers

Showing 1–10 of 388 papers

TitleStatusHype
Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation—0
MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation—0
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and GrounderCode1
CogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Video—0
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment—0
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects—0
Q-SAM2: Accurate Quantization for Segment Anything Model 2—0
SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training CostCode1
OmniFall: A Unified Staged-to-Wild Benchmark for Human Fall DetectionCode0
ThinkVideo: High-Quality Reasoning Video Segmentation with Chain of ThoughtsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDHFAccuracy86.86—Unverified