SOTAVerified

Video Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 388 papers

TitleStatusHype
Open-World Skill Discovery from Unsegmented Demonstrations—0
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation—0
Rethinking Few-Shot Medical Image Segmentation by SAM2: A Training-Free Framework with Augmentative Prompting and Dynamic Matching—0
Parameter-free Video Segmentation for Vision and Language Understanding—0
An Analysis of Data Transformation Effects on Segment Anything 2—0
Deep learning approaches to surgical video segmentation and object detection: A Scoping Review—0
Pointmap Association and Piecewise-Plane Constraint for Consistent and Compact 3D Gaussian Segmentation Field—0
Role of the Pretraining and the Adaptation data sizes for low-resource real-time MRI video segmentation—0
Efficient Portrait Matte Creation With Layer Diffusion and Connectivity Priors—0
Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video SegmentationCode0
Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation—0
Segment Anything Model for Zero-shot Single Particle Tracking in Liquid Phase Transmission Electron MicroscopyCode0
EntitySAM: Segment Everything in Video—0
VideoGLaMM : A Large Multimodal Model for Pixel-Level Visual Grounding in Videos—0
Decoupled Motion Expression Video Segmentation—0
Is Segment Anything Model 2 All You Need for Surgery Video Segmentation? A Systematic Evaluation—0
Generative Video Propagation—0
When SAM2 Meets Video Shadow and Mirror DetectionCode0
Collaborative Hybrid Propagator for Temporal Misalignment in Audio-Visual Segmentation—0
RoMo: Robust Motion Segmentation Improves Structure from Motion—0
Geometric Algebra Planes: Convex Implicit Neural Volumes—0
Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level—0
Zero-shot capability of SAM-family models for bone segmentation in CT scans—0
MSEG-VCUQ: Multimodal SEGmentation with Enhanced Vision Foundation Models, Convolutional Neural Networks, and Uncertainty Quantification for High-Speed Video Phase Detection DataCode0
GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDHFAccuracy86.86—Unverified