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Segmentation

Papers

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Showing 6251–6275 of 13072 papers

TitleStatusHype
IP-UNet: Intensity Projection UNet Architecture for 3D Medical Volume Segmentation—0
Minimizing Labeling Effort for Tree Skeleton Segmentation using an Automated Iterative Training Methodology—0
Access Control of Semantic Segmentation Models Using Encrypted Feature Maps—0
IRINA: Iris Recognition (Even) in Inaccurately Segmented Data—0
Learning Object Placement by Inpainting for Compositional Data Augmentation—0
Customizable Architecture Search for Semantic Segmentation—0
From Sparse to Precise: A Practical Editing Approach for Intracardiac Echocardiography Segmentation—0
Customized SAM 2 for Referring Remote Sensing Image Segmentation—0
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping—0
CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of Clouds—0
ISA-Net: Improved spatial attention network for PET-CT tumor segmentation—0
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification—0
Ischemic Stroke Lesion Segmentation in CT Perfusion Scans using Pyramid Pooling and Focal Loss—0
Ischemic Stroke Lesion Segmentation Using Adversarial Learning—0
From Shadow Segmentation to Shadow Removal—0
ISCUTE: Instance Segmentation of Cables Using Text Embedding—0
CUSUM Filter for Brain Segmentation on DSC Perfusion MR Head Scans with Abnormal Brain Anatomy—0
Deep learning for image segmentation: veritable or overhyped?—0
From Segmentation to Analyses: a Probabilistic Model for Unsupervised Morphology Induction—0
ISEC: Iterative over-Segmentation via Edge Clustering—0
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation—0
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient—0
From SAM to SAM 2: Exploring Improvements in Meta's Segment Anything Model—0
Sequential image processing methods for improving semantic video segmentation algorithms—0
From Registration Uncertainty to Segmentation Uncertainty—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