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Segmentation

Papers

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Showing 5951–5975 of 13072 papers

TitleStatusHype
Defect detection and segmentation in X-Ray images of magnesium alloy castings using the Detectron2 framework—0
Deep vessel segmentation with joint multi-prior encoding—0
Autonomous Removal of Perspective Distortion of Elevator Button Images based on Corner Detection—0
Deep vessel segmentation based on a new combination of vesselness filters—0
Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts—0
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation—0
DeepTriNet: A Tri-Level Attention Based DeepLabv3+ Architecture for Semantic Segmentation of Satellite Images—0
DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI—0
Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks—0
Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation—0
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans—0
Automating Vessel Segmentation in the Heart and Brain: A Trend to Develop Multi-Modality and Label-Efficient Deep Learning Techniques—0
Deep Superpixel Cut for Unsupervised Image Segmentation—0
Deep Structured learning for mass segmentation from Mammograms—0
Automating Sonologists USG Commands with AI and Voice Interface—0
A Multiscale Patch Based Convolutional Network for Brain Tumor Segmentation—0
A multiscale graph cut approach to bright-field multiple cell image segmentation using a Bhattacharyya measure—0
Active spline model: A shape based model-interactive segmentation—0
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation—0
Deep Structured Features for Semantic Segmentation—0
Deep Statistic Shape Model for Myocardium Segmentation—0
Automating Idea Unit Segmentation and Alignment for Assessing Reading Comprehension via Summary Protocol Analysis—0
DeepSTAPLE: Learning to predict multimodal registration quality for unsupervised domain adaptation—0
Automating Easy Read Text Segmentation—0
A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation—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