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Segmentation

Papers

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Showing 3826–3850 of 13072 papers

TitleStatusHype
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation—0
Automatic segmentation of MR brain images with a convolutional neural network—0
Active Label Refinement for Semantic Segmentation of Satellite Images—0
Every Pixel Tells a Story: End-to-End Urdu Newspaper OCR—0
Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation—0
DMCNN: A Deep Multiscale Convolutional Neural Network Model for Medical Image Segmentation—0
DMML-Net: Deep Metametric Learning for Few-Shot Geographic Object Segmentation in Remote Sensing Imagery—0
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation—0
Deep Learning in Medical Ultrasound Image Segmentation: a Review—0
Automatic segmentation of meniscus based on MAE self-supervision and point-line weak supervision paradigm—0
Do Audio-Visual Segmentation Models Truly Segment Sounding Objects?—0
DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts—0
Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT—0
Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging—0
Amodal Panoptic Segmentation—0
Document Layout Analysis with Aesthetic-Guided Image Augmentation—0
Active Image Segmentation Propagation—0
Document Structure Extraction using Prior based High Resolution Hierarchical Semantic Segmentation—0
Document Summarization with Text Segmentation—0
Automatic segmentation of lizard spots using an active contour model—0
Do Deep Neural Networks for Segmentation Understand Insideness?—0
Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging—0
Automatic Segmentation of Left Ventricle in Cardiac Magnetic Resonance Images—0
A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning—0
Event Segmentation Applications in Large Language Model Enabled Automated Recall Assessments—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