SOTAVerified

Video Segmentation

Papers

Showing 76100 of 388 papers

TitleStatusHype
Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision0
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 ModelCode2
LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation0
Unleashing the Potential of SAM2 for Biomedical Images and Videos: A SurveyCode5
Rethinking Video Segmentation with Masked Video Consistency: Did the Model Learn as Intended?0
Video Object Segmentation via SAM 2: The 4th Solution for LSVOS Challenge VOS Track0
Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame PruningCode2
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM20
Is SAM 2 Better than SAM in Medical Image Segmentation?0
Saliency Detection in Educational Videos: Analyzing the Performance of Current Models, Identifying Limitations and Advancement Directions0
SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation0
Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation0
Segment Anything in Medical Images and Videos: Benchmark and DeploymentCode7
Biomedical SAM 2: Segment Anything in Biomedical Images and VideosCode0
Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2Code3
SAM 2: Segment Anything in Images and VideosCode12
ViLLa: Video Reasoning Segmentation with Large Language ModelCode1
FoodMem: Near Real-time and Precise Food Video Segmentation0
VISA: Reasoning Video Object Segmentation via Large Language ModelsCode3
General and Task-Oriented Video SegmentationCode1
Uni-DVPS: Unified Model for Depth-Aware Video Panoptic SegmentationCode1
DaBiT: Depth and Blur informed Transformer for Joint Refocusing and Super-ResolutionCode0
Deep Unfolding-Aided Parameter Tuning for Plug-and-Play-Based Video Snapshot Compressive Imaging0
MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation0
PVUW 2024 Challenge on Complex Video Understanding: Methods and ResultsCode4
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDHFAccuracy86.86Unverified