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Segmentation

Papers

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Showing 6276–6300 of 13072 papers

TitleStatusHype
Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach—0
All you need is a second look: Towards Tighter Arbitrary shape text detection—0
A Cross-Scale Hierarchical Transformer with Correspondence-Augmented Attention for inferring Bird's-Eye-View Semantic Segmentation—0
3D Scene Parsing via Class-Wise Adaptation—0
DeepContour: A Deep Convolutional Feature Learned by Positive-Sharing Loss for Contour Detection—0
Deep Consensus Learning—0
Automatic Drywall Analysis for Progress Tracking and Quality Control in Construction—0
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images—0
Deep Compatible Learning for Partially-Supervised Medical Image Segmentation—0
Automatic Discovery and Assessment of Interpretable Systematic Errors in Semantic Segmentation—0
Automatic Discourse Segmentation: Review and Perspectives—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
Automatic Discourse Segmentation: an evaluation in French—0
All You Need is a Second Look: Towards Arbitrary-Shaped Text Detection—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
Deep Attention Unet: A Network Model with Global Feature Perception Ability—0
Automatic Deep Learning System for COVID-19 Infection Quantification in chest CT—0
Deep attention-guided fusion network for lesion segmentation—0
Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images—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