SOTAVerified

Segmentation

Papers

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Showing 9276–9300 of 13072 papers

TitleStatusHype
Influence of segmentation accuracy in structural MR head scans on electric field computation for TMS and tES—0
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning—0
Local Context Attention for Salient Object Segmentation—0
Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection—0
Style-invariant Cardiac Image Segmentation with Test-time Augmentation—0
Region Growing with Convolutional Neural Networks for Biomedical Image Segmentation—0
Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging—0
Learning Non-Unique Segmentation with Reward-Penalty Dice LossCode0
Angular Luminance for Material Segmentation—0
Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection—0
Whole page recognition of historical handwriting—0
SESV: Accurate Medical Image Segmentation byPredicting and Correcting Errors—0
Semi-supervised Semantic Segmentation of Prostate and Organs-at-Risk on 3D Pelvic CT Images—0
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray imagesCode0
An Efficient Language-Independent Multi-Font OCR for Arabic Script—0
Multi-Resolution Graph Neural Network for Large-Scale Pointcloud Segmentation—0
TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling—0
PMVOS: Pixel-Level Matching-Based Video Object Segmentation—0
Synthetic Convolutional Features for Improved Semantic Segmentation—0
Word Segmentation from Unconstrained Handwritten Bangla Document Images using Distance Transform—0
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation—0
Multi-scale Attention U-Net (MsAUNet): A Modified U-Net Architecture for Scene Segmentation—0
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network—0
Efficient multi-class fetal brain segmentation in high resolution MRI reconstructions with noisy labelsCode0
SML: Semantic Meta-learning for Few-shot Semantic 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