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Segmentation

Papers

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Showing 7701–7725 of 13072 papers

TitleStatusHype
MugenNet: A Novel Combined Convolution Neural Network and Transformer Network with its Application for Colonic Polyp Image Segmentation—0
Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection—0
COVID-19 Infection Localization and Severity Grading from Chest X-ray Images—0
A hybrid approach for improving U-Net variants in medical image segmentation—0
A Comparative Performance Analysis of Classification and Segmentation Models on Bangladeshi Pothole Dataset—0
Multi-Atlas Segmentation of Biomedical Images: A Survey—0
3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images—0
Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation—0
Improving Performance of Semantic Segmentation CycleGANs by Noise Injection into the Latent Segmentation Space—0
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution—0
Improving Patent Translation using Bilingual Term Extraction and Re-tokenization for Chinese--Japanese—0
CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation—0
Improving Panoptic Segmentation at All Scales—0
Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results—0
Covariance Self-Attention Dual Path UNet for Rectal Tumor Segmentation—0
Improving Online Performance Prediction for Semantic Segmentation—0
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation—0
Audio-Visual Segmentation by Exploring Cross-Modal Mutual Semantics—0
Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning—0
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study—0
Improving Myocardium Segmentation in Cardiac CT Angiography using Spectral Information—0
Counterfactual Image Networks—0
Improving Mammography Malignancy Segmentation by Designing the Training Process—0
Multi-class Brain Tumor Segmentation using Graph Attention Network—0
Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling—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