SOTAVerified

Segmentation

Papers

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Showing 9251–9275 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
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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