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Segmentation

Papers

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Showing 4651–4700 of 13072 papers

TitleStatusHype
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation—0
AI-based automated Meibomian gland segmentation, classification and reflection correction in infrared Meibography—0
Give me (un)certainty -- An exploration of parameters that affect segmentation uncertainty—0
Gland Instance Segmentation by Deep Multichannel Neural Networks—0
Globally Consistent Multi-label Assignment on the Ray Space of 4D Light Fields—0
CRIS: Collaborative Refinement Integrated with Segmentation for Polyp Segmentation—0
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data—0
CRF Learning with CNN Features for Image Segmentation—0
A hypothesize-and-verify framework for Text Recognition using Deep Recurrent Neural Networks—0
A comparative study of attention mechanism and generative adversarial network in facade damage segmentation—0
Creating A Coefficient of Change in the Built Environment After a Natural Disaster—0
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks—0
CrashCar101: Procedural Generation for Damage Assessment—0
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures—0
A Unified Efficient Pyramid Transformer for Semantic Segmentation—0
A Hybrid Semantic-Geometric Approach for Clutter-Resistant Floorplan Generation from Building Point Clouds—0
3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map—0
Crack Semantic Segmentation using the U-Net with Full Attention Strategy—0
A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation—0
Consumer-Optimal Segmentation in Multi-Product Markets—0
A hybrid multi-object segmentation framework with model-based B-splines for microbial single cell analysis—0
CrackESS: A Self-Prompting Crack Segmentation System for Edge Devices—0
CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation—0
A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning—0
CpT: Convolutional Point Transformer for 3D Point Cloud Processing—0
CPSeg: Finer-grained Image Semantic Segmentation via Chain-of-Thought Language Prompting—0
AUNet: Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms—0
A Hybrid Framework for Tumor Saliency Estimation—0
CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds—0
CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Compartments Segmentation on CT Images—0
CPM: Class-conditional Prompting Machine for Audio-visual Segmentation—0
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
CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images—0
Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance Segmentation Framework for Sport-scenes—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
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans—0
A hybrid approach for improving U-Net variants in medical image segmentation—0
COVID-CT-H-UNet: a novel COVID-19 CT segmentation network based on attention mechanism and Bi-category Hybrid loss—0
COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty—0
Augmentation based unsupervised domain adaptation—0
Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound—0
COVID-19 Infection Map Generation and Detection from Chest X-Ray Images—0
COVID-19 Infection Localization and Severity Grading from Chest X-ray Images—0
A Comparative Performance Analysis of Classification and Segmentation Models on Bangladeshi Pothole Dataset—0
3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images—0
Getting More from Segmentation Evaluation—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