SOTAVerified

Video Segmentation

Papers

Showing 2130 of 388 papers

TitleStatusHype
Segment Anything Meets Point TrackingCode3
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools SegmentationCode3
GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video SegmentationCode2
HyperSeg: Hybrid Segmentation Assistant with Fine-grained Visual PerceiverCode2
InstructSeg: Unifying Instructed Visual Segmentation with Multi-modal Large Language ModelsCode2
Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any GranularityCode2
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2Code2
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 ModelCode2
Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame PruningCode2
Decoupling Static and Hierarchical Motion Perception for Referring Video SegmentationCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDHFAccuracy86.86Unverified