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Segmentation

Papers

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Showing 5726–5750 of 13072 papers

TitleStatusHype
Hypergraph Convolutional Network based Weakly Supervised Point Cloud Semantic Segmentation with Scene-Level Annotations—0
Coarse-To-Fine Segmentation With Shape-Tailored Continuum Scale Spaces—0
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation—0
A dynamic interactive learning framework for automated 3D medical image segmentation—0
Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces—0
Gaga: Group Any Gaussians via 3D-aware Memory Bank—0
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet—0
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI—0
Inverse Quantum Fourier Transform Inspired Algorithm for Unsupervised Image Segmentation—0
Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI—0
Hyperspectral Image Segmentation based on Graph Processing over Multilayer Networks—0
Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral Image—0
Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit—0
Inverse Renormalization Group Transformation in Bayesian Image Segmentations—0
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging—0
I^2R: Inter and Intra-image Refinement in Few Shot Segmentation—0
A Truly Joint Neural Architecture for Segmentation and Parsing—0
GAEI-UNet: Global Attention and Elastic Interaction U-Net for Vessel Image Segmentation—0
Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN—0
Coarse-to-fine Kidney Segmentation Framework Incorporating with Abnormal Detection and Correction—0
I Can See Clearly Now : Image Restoration via De-Raining—0
ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D Cardiac Cine MRI Segmentation—0
ICDAR 2021 Competition on Components Segmentation Task of Document Photos—0
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation—0
A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound 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