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Segmentation

Papers

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Showing 7651–7675 of 13072 papers

TitleStatusHype
Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance Segmentation Framework for Sport-scenes—0
Improving Semantic Segmentation via Self-Training—0
Improving Semantic Segmentation via Dilated Affinity—0
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans—0
Augmentation is AUtO-Net: Augmentation-Driven Contrastive Multiview Learning for Medical Image Segmentation—0
A Hybrid Deep Learning and Model-Checking Framework for Accurate Brain Tumor Detection and Validation—0
A Comparative Tutorial of the Histogram-based Image Segmentation Methods—0
MRI Breast tissue segmentation using nnU-Net for biomechanical modeling—0
Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos—0
MRI Cross-Modality NeuroImage-to-NeuroImage Translation—0
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans—0
MR-NOM: Multi-scale Resolution of Neuronal cells in Nissl-stained histological slices via deliberate Over-segmentation and Merging—0
Improving Segmentation of Breast Ultrasound Images: Semi Automatic Two Pointers Histogram Splitting Technique—0
COVID-CT-H-UNet: a novel COVID-19 CT segmentation network based on attention mechanism and Bi-category Hybrid loss—0
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation—0
Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation—0
COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty—0
MS-DCANet: A Novel Segmentation Network For Multi-Modality COVID-19 Medical Images—0
Augmentation based unsupervised domain adaptation—0
Improving Road Segmentation in Challenging Domains Using Similar Place Priors—0
COVID-19 Infection Map Generation and Detection from Chest X-Ray Images—0
Improving RANSAC-Based Segmentation Through CNN Encapsulation—0
ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecasting—0
Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data—0
Improving Prediction Accuracy of Semantic Segmentation Methods Using Convolutional Autoencoder Based Pre-processing Layers—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