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Segmentation

Papers

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Showing 4226–4250 of 13072 papers

TitleStatusHype
Automatic Discourse Segmentation: Review and Perspectives—0
A Critical Look at the Current Usage of Foundation Model for Dense Recognition Task—0
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation—0
DeepCERES: A Deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI—0
Finite State Machines for Semantic Scene Parsing and Segmentation—0
Deep Cerebellar Nuclei Segmentation via Semi-Supervised Deep Context-Aware Learning from 7T Diffusion MRI—0
Deep BV: A Fully Automated System for Brain Ventricle Localization and Segmentation in 3D Ultrasound Images of Embryonic Mice—0
Automatic diagnosis of cardiac magnetic resonance images based on semi-supervised learning—0
Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks—0
DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces—0
Automatic defect segmentation by unsupervised anomaly learning—0
Automatic Deep Learning System for COVID-19 Infection Quantification in chest CT—0
Deep Attention Unet: A Network Model with Global Feature Perception Ability—0
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning—0
Deep attention-guided fusion network for lesion segmentation—0
Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images—0
Fine tuning U-Net for ultrasound image segmentation: which layers?—0
Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End Solutions—0
Deep asymmetric mixture model for unsupervised cell segmentation—0
Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity Measurement—0
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation—0
Deep Angiogram: Trivializing Retinal Vessel Segmentation—0
Automatic Dance Video Segmentation for Understanding Choreography—0
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes—0
Acquisition-invariant brain MRI segmentation with informative uncertainties—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