SOTAVerified

Video Segmentation

Papers

Showing 125 of 388 papers

TitleStatusHype
SAM 2: Segment Anything in Images and VideosCode11
Efficient Track AnythingCode7
Segment Anything in Medical Images and Videos: Benchmark and DeploymentCode7
The 1st Solution for 4th PVUW MeViS Challenge: Unleashing the Potential of Large Multimodal Models for Referring Video SegmentationCode5
Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and VideosCode5
Underwater Camouflaged Object Tracking Meets Vision-Language SAM2Code5
Unleashing the Potential of SAM2 for Biomedical Images and Videos: A SurveyCode5
MedSAM2: Segment Anything in 3D Medical Images and VideosCode4
EdgeTAM: On-Device Track Anything ModelCode4
SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory TreeCode4
PVUW 2024 Challenge on Complex Video Understanding: Methods and ResultsCode4
Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different ScenesCode3
SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video SegmentationCode3
SMITE: Segment Me In TimECode3
Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2Code3
VISA: Reasoning Video Object Segmentation via Large Language ModelsCode3
UniVS: Unified and Universal Video Segmentation with Prompts as QueriesCode3
RAP-SAM: Towards Real-Time All-Purpose Segment AnythingCode3
Tracking Anything with Decoupled Video SegmentationCode3
VideoCutLER: Surprisingly Simple Unsupervised Video Instance SegmentationCode3
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDHFAccuracy86.86Unverified