SOTAVerified

Segmentation

Papers

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Showing 2026–2050 of 13072 papers

TitleStatusHype
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement LearningCode1
DSCA: A Digital Subtraction Angiography Sequence Dataset and Spatio-Temporal Model for Cerebral Artery Segmentation—0
An Image Segmentation Model with Transformed Total VariationCode0
TotalVibeSegmentator: Full Body MRI Segmentation for the NAKO and UK BiobankCode2
Direct Cardiac Segmentation from Undersampled K-space Using TransformersCode0
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously—0
Extreme Point Supervised Instance Segmentation—0
Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks—0
P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image SegmentationCode0
CRIS: Collaborative Refinement Integrated with Segmentation for Polyp Segmentation—0
Automatic Dance Video Segmentation for Understanding Choreography—0
Twin Deformable Point Convolutions for Point Cloud Semantic Segmentation in Remote Sensing Scenes—0
DenseSeg: Joint Learning for Semantic Segmentation and Landmark Detection Using Dense Image-to-Shape RepresentationCode0
MCDS-VSS: Moving Camera Dynamic Scene Video Semantic Segmentation by Filtering with Self-Supervised Geometry and MotionCode0
View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature FieldsCode0
SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified FlowCode1
OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation—0
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation—0
Lifelong Learning Using a Dynamically Growing Tree of Sub-networks for Domain Generalization in Video Object Segmentation—0
Kestrel: Point Grounding Multimodal LLM for Part-Aware 3D Vision-Language Understanding—0
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic SegmentationCode1
Reasoning3D -- Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models—0
FocSAM: Delving Deeply into Focused Objects in Segmenting AnythingCode1
CBAR‑UNet: A novel methodology for segmentation of cardiac magnetic resonance images using block attention‑based deep residual neural networkCode0
FUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic UnderstandingCode1
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified