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Segmentation

Papers

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Showing 7901–7925 of 13072 papers

TitleStatusHype
Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism—0
Improved Training for Self-Training by Confidence Assessments—0
Multi-Scale Feature Fusion: Learning Better Semantic Segmentation for Road Pothole Detection—0
Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images—0
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation—0
Multi-Scale Fully Convolutional Network for Cardiac Left Ventricle Segmentation—0
Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection using Geometric Assessment-driven Topological Smoothing (GATS)—0
CortexMorph: fast cortical thickness estimation via diffeomorphic registration using VoxelMorph—0
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning—0
Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation—0
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation—0
Improved Robustness for Deep Learning-based Segmentation of Multi-Center Myocardial Perfusion MRI Datasets Using Data Adaptive Uncertainty-guided Space-time Analysis—0
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames—0
Multi-scale Network with Attentional Multi-resolution Fusion for Point Cloud Semantic Segmentation—0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
Improved Object-Based Style Transfer with Single Deep Network—0
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation—0
Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative)—0
Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis—0
Multi-Scale Semantic Segmentation with Modified MBConv Blocks—0
Point Cloud Semantic Segmentation using Multi Scale Sparse Convolution Neural Network—0
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy—0
MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input—0
MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales—0
Attention W-Net: Improved Skip Connections for better Representations—0
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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