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Segmentation

Papers

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Showing 6251–6300 of 13072 papers

TitleStatusHype
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs—0
Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization—0
Deep Ensemble approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings—0
Deep Dual Pyramid Network for Barcode Segmentation using Barcode-30k Database—0
Deep Distance Transform for Tubular Structure Segmentation in CT Scans—0
Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net—0
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation—0
3D Segmentation Learning from Sparse Annotations and Hierarchical Descriptors—0
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation—0
Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels—0
Deep Deterministic Uncertainty for Semantic Segmentation—0
Deep, Dense, and Low-Rank Gaussian Conditional Random Fields—0
Automatic Hadith Segmentation using PPM Compression—0
Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation—0
A Locally Adapting Technique for Boundary Detection using Image Segmentation—0
Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation—0
Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image Segmentation—0
Automatic fetal fat quantification from MRI—0
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review—0
Automatic evaluation of human oocyte developmental potential from microscopy images—0
All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators—0
Deep Convolutional Networks for Supervised Morpheme Segmentation of Russian Language—0
Deep convolutional networks for pancreas segmentation in CT imaging—0
Automatic Estimation of Live Coffee Leaf Infection based on Image Processing Techniques—0
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation—0
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