SOTAVerified

Segmentation

Papers

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Showing 6076–6100 of 13072 papers

TitleStatusHype
Instance-aware Self-supervised Learning for Nuclei Segmentation—0
Enhanced Knee Kinematics: Leveraging Deep Learning and Morphing Algorithms for 3D Implant Modeling—0
Fully Automatic Brain Tumor Segmentation using a Normalized Gaussian Bayesian Classifier and 3D Fluid Vector Flow—0
Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet—0
Segmentation of the Left Ventricle by SDD double threshold selection and CHT—0
Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation—0
Instance-guided Cartoon Editing with a Large-scale Dataset—0
ArticulatedFusion: Real-time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera—0
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks—0
Instance-Level Video Segmentation From Object Tracks—0
Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology—0
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-task Baseline—0
Fully Automated Organ Segmentation in Male Pelvic CT Images—0
Instance Search via Instance Level Segmentation and Feature Representation—0
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels—0
Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-structured Inference—0
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks—0
ClusterNet: 3D Instance Segmentation in RGB-D Images—0
ARPM-net: A novel CNN-based adversarial method with Markov Random Field enhancement for prostate and organs at risk segmentation in pelvic CT images—0
Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation—0
Instance Segmentation for Point Sets—0
Fully Automated Left Atrium Segmentation from Anatomical Cine Long-axis MRI Sequences using Deep Convolutional Neural Network with Unscented Kalman Filter—0
Instance Segmentation GNNs for One-Shot Conformal Tracking at the LHC—0
ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition—0
Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies—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