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Segmentation

Papers

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Showing 12101–12150 of 13072 papers

TitleStatusHype
Client/Server Based Online Environment for Manual Segmentation of Medical Images—0
Modelling brain lesion volume in patches with CNN-based Poisson Regression—0
Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action—0
Clinical Inspired MRI Lesion Segmentation—0
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations—0
CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor—0
Cartoon-texture evolution for two-region image segmentation—0
Car Segmentation and Pose Estimation using 3D Object Models—0
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation—0
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge—0
CLIP for Lightweight Semantic Segmentation—0
CLIP Is Also a Good Teacher: A New Learning Framework for Inductive Zero-shot Semantic Segmentation—0
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions—0
CLIP-S^4: Language-Guided Self-Supervised Semantic Segmentation—0
CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation—0
Cardiac Segmentation of LGE MRI with Noisy Labels—0
Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors—0
CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-View CNN—0
Cardiac MRI Semantic Segmentation for Ventricles and Myocardium using Deep Learning—0
CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation—0
Cardiac MR Image Segmentation Techniques: an overview—0
CLIP with Quality Captions: A Strong Pretraining for Vision Tasks—0
CLiSA: A Hierarchical Hybrid Transformer Model using Orthogonal Cross Attention for Satellite Image Cloud Segmentation—0
Temporal-spatial Adaptation of Promptable SAM Enhance Accuracy and Generalizability of cine CMR Segmentation—0
Cardiac CT segmentation based on distance regularized level set—0
Cardiac Adipose Tissue Segmentation via Image-Level Annotations—0
Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation—0
Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation—0
Closer to Ground Truth: Realistic Shape and Appearance Labeled Data Generation for Unsupervised Underwater Image Segmentation—0
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation—0
Modelling depth for nonparametric foreground segmentation using RGBD devices—0
ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation—0
CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of Clouds—0
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping—0
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation—0
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis—0
Capsules for Biomedical Image Segmentation—0
Clustering Approach Towards Image Segmentation: An Analytical Study—0
CapsNet for Medical Image Segmentation—0
Modified CycleGAN for the synthesization of samples for wheat head segmentation—0
CAP: Context-Aware Pruning for Semantic-Segmentation—0
Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality—0
Modified Segmentation Algorithm for Recognition of Older Geez Scripts Written on Vellum—0
Clustering Monolingual Vocabularies to Improve Cross-Lingual Generalization—0
Clustering Optimisation Method for Highly Connected Biological Data—0
CAP-Context-Aware-Pruning-for-Semantic-Segmentation—0
Can we unify monocular detectors for autonomous driving by using the pixel-wise semantic segmentation of CNNs?—0
ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition—0
ClusterNet: 3D Instance Segmentation in RGB-D Images—0
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels—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