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Segmentation

Papers

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Showing 9251–9300 of 13072 papers

TitleStatusHype
Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal Images—0
Towards Adaptive Semantic Segmentation by Progressive Feature Refinement—0
Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images—0
DOT: Dynamic Object Tracking for Visual SLAM—0
Geometric Loss for Deep Multiple Sclerosis lesion Segmentation—0
Graph-based methods for analyzing orchard tree structure using noisy point cloud data—0
Realistic Image Normalization for Multi-Domain SegmentationCode0
Towards Intelligent Risk-based Customer Segmentation in Banking—0
Medical Image Segmentation Using Deep Learning: A SurveyCode0
Incomplete Utterance Rewriting as Semantic Segmentation—0
MPG-Net: Multi-Prediction Guided Network for Segmentation of Retinal Layers in OCT Images—0
Learning Hyperbolic Representations for Unsupervised 3D Segmentation—0
Fully Automated Left Atrium Segmentation from Anatomical Cine Long-axis MRI Sequences using Deep Convolutional Neural Network with Unscented Kalman Filter—0
Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation—0
A complete character recognition and transliteration technique for Devanagari script—0
A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-Time—0
RAR-U-Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels—0
DT-Net: A novel network based on multi-directional integrated convolution and threshold convolution—0
COVID-19 Infection Map Generation and Detection from Chest X-Ray Images—0
MicroAnalyzer: A Python Tool for Automated Bacterial Analysis with Fluorescence MicroscopyCode0
Causal Intervention for Weakly-Supervised Semantic Segmentation—0
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 DiagnosisCode0
Going to Extremes: Weakly Supervised Medical Image SegmentationCode0
DPN: Detail-Preserving Network with High Resolution Representation for Efficient Segmentation of Retinal VesselsCode0
Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network—0
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