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Segmentation

Papers

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Showing 8951–8975 of 13072 papers

TitleStatusHype
EVOPS Benchmark: Evaluation of Plane Segmentation from RGBD and LiDAR Data—0
EV-SegNet: Semantic Segmentation for Event-based Cameras—0
EXACT-Net:EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy—0
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation—0
Exemplar-Based Face Parsing—0
Automated Kidney Segmentation by Mask R-CNN in T2-weighted Magnetic Resonance Imaging—0
Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation With Exemplars—0
Exemplar Learning for Medical Image Segmentation—0
ExFuse: Enhancing Feature Fusion for Semantic Segmentation—0
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization—0
Minimizing Labeling Effort for Tree Skeleton Segmentation using an Automated Iterative Training Methodology—0
Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma—0
Multi-Spectral Imaging via Computed Tomography (MUSIC) - Comparing Unsupervised Spectral Segmentations for Material Differentiation—0
Automated ischemic stroke lesion segmentation from 3D MRI—0
Expedition: A System for the Unsupervised Learning of a Hierarchy of Concepts—0
Experimental analysis regarding the influence of iris segmentation on the recognition rate—0
Experimental Framework for Generating Reliable Ground Truth for Laryngeal Spatial Segmentation Tasks—0
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey—0
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation—0
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI—0
Explainable Semantic Medical Image Segmentation with Style—0
Explaining Deep Models through Forgettable Learning Dynamics—0
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training—0
Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning—0
Explicit Motion Handling and Interactive Prompting for Video Camouflaged Object Detection—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