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Segmentation

Papers

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Showing 7651–7700 of 13072 papers

TitleStatusHype
Augmented Efficiency: Reducing Memory Footprint and Accelerating Inference for 3D Semantic Segmentation through Hybrid Vision—0
A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes—0
Improving Spatial Codification in Semantic Segmentation—0
Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor—0
CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images—0
Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity—0
Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance Segmentation Framework for Sport-scenes—0
MRI Breast tissue segmentation using nnU-Net for biomechanical modeling—0
Improving Semantic Segmentation via Self-Training—0
MRI Cross-Modality NeuroImage-to-NeuroImage Translation—0
Improving Semantic Segmentation via Dilated Affinity—0
MR-NOM: Multi-scale Resolution of Neuronal cells in Nissl-stained histological slices via deliberate Over-segmentation and Merging—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
Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos—0
MS-DCANet: A Novel Segmentation Network For Multi-Modality COVID-19 Medical Images—0
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans—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
ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecasting—0
Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation—0
MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries—0
MSFormer: A Skeleton-multiview Fusion Method For Tooth Instance Segmentation—0
COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty—0
(M)SLAe-Net: Multi-Scale Multi-Level Attention embedded Network for Retinal Vessel Segmentation—0
Augmentation based unsupervised domain adaptation—0
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation—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
MSP : Refine Boundary Segmentation via Multiscale Superpixel—0
Improving RANSAC-Based Segmentation Through CNN Encapsulation—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
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
MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation—0
A Comparative Performance Analysis of Classification and Segmentation Models on Bangladeshi Pothole Dataset—0
MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical Image Segmentation with Small Training Data—0
MSV-Mamba: A Multiscale Vision Mamba Network for Echocardiography Segmentation—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
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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