SOTAVerified

Segmentation

Papers

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Showing 3476–3500 of 13072 papers

TitleStatusHype
Enhanced Pediatric Dental Segmentation Using a Custom SegUNet with VGG19 Backbone on Panoramic Radiographs—0
GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains—0
Dynamically evolving segment anything model with continuous learning for medical image segmentation—0
A Label-Free High-Precision Residual Moveout Picking Method for Travel Time Tomography based on Deep Learning—0
Pathology-Guided AI System for Accurate Segmentation and Diagnosis of Cervical SpondylosisCode0
Towards Universal Text-driven CT Image SegmentationCode0
Segment Anything, Even Occluded—0
Feature-EndoGaussian: Feature Distilled Gaussian Splatting in Surgical Deformable Scene Reconstruction—0
End-to-End Action Segmentation Transformer—0
Joint 3D Point Cloud Segmentation using Real-Sim Loop: From Panels to Trees and Branches—0
We Care Each Pixel: Calibrating on Medical Segmentation ModelCode0
Conformal Prediction for Image Segmentation Using Morphological Prediction SetsCode0
L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation—0
Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation—0
Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor SegmentationCode0
Adaptive Subarray Segmentation: A New Paradigm of Spatial Non-Stationary Near-Field Channel Estimation for XL-MIMO Systems—0
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation—0
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images—0
Interactive Segmentation and Report Generation for CT Images—0
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation—0
Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning—0
Top-K Maximum Intensity Projection Priors for 3D Liver Vessel Segmentation—0
Automatic Drywall Analysis for Progress Tracking and Quality Control in Construction—0
Rethinking Few-Shot Medical Image Segmentation by SAM2: A Training-Free Framework with Augmentative Prompting and Dynamic Matching—0
ScaleFusionNet: Transformer-Guided Multi-Scale Feature Fusion for Skin Lesion SegmentationCode0
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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