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Segmentation

Papers

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Showing 7701–7725 of 13072 papers

TitleStatusHype
MugenNet: A Novel Combined Convolution Neural Network and Transformer Network with its Application for Colonic Polyp Image Segmentation—0
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation—0
Fast Piecewise-Affine Motion Estimation Without Segmentation—0
Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients—0
Multi-Atlas Based Pathological Stratification of d-TGA Congenital Heart Disease—0
Multi-Atlas Segmentation of Biomedical Images: A Survey—0
Fast Panoptic Segmentation Network—0
A parameterless scale-space approach to find meaningful modes in histograms - Application to image and spectrum segmentation—0
Exploiting Precision Mapping and Component-Specific Feature Enhancement for Breast Cancer Segmentation and Identification—0
Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras—0
MuraNet: Multi-task Floor Plan Recognition with Relation Attention—0
Fast Object Classification and Meaningful Data Representation of Segmented Lidar Instances—0
Unsupervised domain adaptation based COVID-19 CT infection segmentation network—0
Fast Neural Chinese Word Segmentation for Long Sentences—0
A Parallel Framework for Parametric Maximum Flow Problems in Image Segmentation—0
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation—0
MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance—0
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results—0
Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI—0
Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation—0
Domain Adaptation on Semantic Segmentation for Aerial Images—0
Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT—0
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation—0
Multi-class Brain Tumor Segmentation using Graph Attention Network—0
Fast Marching Energy CNN—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