SOTAVerified

Image Segmentation

Image Segmentation is a computer vision task that involves dividing an image into multiple segments or regions, each of which corresponds to a different object or part of an object. The goal of image segmentation is to assign a unique label or category to each pixel in the image, so that pixels with similar attributes are grouped together.

Papers

Showing 37013750 of 5035 papers

TitleStatusHype
Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks0
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation0
Deep Compatible Learning for Partially-Supervised Medical Image Segmentation0
Deep Conditional Shape Models for 3D cardiac image segmentation0
DeepContour: A Deep Convolutional Feature Learned by Positive-Sharing Loss for Contour Detection0
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation0
Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image Segmentation0
Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation0
DeepDefacer: Automatic Removal of Facial Features via U-Net Image Segmentation0
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation0
Deep Dual Learning for Semantic Image Segmentation0
DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection0
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation0
Deepfake Image Generation for Improved Brain Tumor Segmentation0
Deep feature transfer between localization and segmentation tasks0
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation0
Deep Geodesic Learning for Segmentation and Anatomical Landmarking0
DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scans0
Deep Grouping Model for Unified Perceptual Parsing0
Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline0
Deep learning and its application to medical image segmentation0
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI0
Deep Learning Approach for Building Detection in Satellite Multispectral Imagery0
Deep learning architectures for automated image segmentation0
Deep learning assisted high resolution microscopy image processing for phase segmentation in functional composite materials0
Deep Learning-based Aerial Image Segmentation with Open Data for Disaster Impact Assessment0
Deep Learning-Based Automated Image Segmentation for Concrete Petrographic Analysis0
Deep Learning-based Bio-Medical Image Segmentation using UNet Architecture and Transfer Learning0
Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection0
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation0
Deep learning denoising for EOG artifacts removal from EEG signals0
Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging0
Deep Learning for Automatic Tracking of Tongue Surface in Real-time Ultrasound Videos, Landmarks instead of Contours0
Deep learning for cardiac image segmentation: A review0
Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors0
Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation0
Deep Learning for Global Wildfire Forecasting0
Deep Learning for Medical Image Processing: Overview, Challenges and Future0
Deep Learning for Medical Image Segmentation0
Expert-Adaptive Medical Image Segmentation0
Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities0
Deep Learning for Object Saliency Detection and Image Segmentation0
Deep Learning for Ranking Response Surfaces with Applications to Optimal Stopping Problems0
Deep Learning Hyperspectral Image Classification Using Multiple Class-based Denoising Autoencoders, Mixed Pixel Training Augmentation, and Morphological Operations0
Deep Learning in Medical Ultrasound Image Segmentation: a Review0
Deep Learning in Multi-organ Segmentation0
Deep Learning Model with GA based Feature Selection and Context Integration0
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation0
Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset0
Deep Learning Training Procedure Augmentations0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92Unverified
2HetNetIoU0.83Unverified
3PMDIoU0.82Unverified
4SANetIoU0.8Unverified
5MirrorNetIoU0.79Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73Unverified
2HetNetIoU0.69Unverified
3SANetIoU0.67Unverified
4PMDIoU0.66Unverified
5MirrorNetIoU0.59Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8Unverified
2MAS-SAMmIoU0.79Unverified
3MASNetmIoU0.74Unverified
4ZoomNetmIoU0.74Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8Unverified
2PPSmIoUPartS58.6Unverified
3HIPIE (ResNet-50)mIoUPartS57.2Unverified
4JPPFmIoUPartS54.4Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74Unverified
2SAM2-UNetmIoU0.74Unverified
3MASNetmIoU0.73Unverified
4ZoomNetmIoU0.73Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6Unverified
2OneNete,4-SmAP0.552.75Unverified
3OneNeted,4mIoU14.9Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98Unverified
2PALEDDice0.98Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67Unverified
2UNetIoU0.57Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97Unverified