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

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Showing 3951–4000 of 5035 papers

TitleStatusHype
Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Net—0
Enhancing DeepLabV3+ to Fuse Aerial and Satellite Images for Semantic Segmentation—0
Enhancing Foreground Boundaries for Medical Image Segmentation—0
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking—0
Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models—0
Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with Autoencoders—0
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models—0
Enhancing Nucleus Segmentation with HARU-Net: A Hybrid Attention Based Residual U-Blocks Network—0
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of Generative AI and State-of-the-Art Neural Networks—0
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation—0
Enhancing Semantic Segmentation with Adaptive Focal Loss: A Novel Approach—0
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation—0
Ensembling Low Precision Models for Binary Biomedical Image Segmentation—0
Entropy Based Cartoon Texture Separation—0
Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance—0
Entropy Minimization for Convex Relaxation Approaches—0
Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures—0
EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation—0
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data—0
Error-tolerant Scribbles Based Interactive Image Segmentation—0
E-SAM: Training-Free Segment Every Entity Model—0
ESC: Evolutionary Stitched Camera Calibration in the Wild—0
ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation—0
espiownage: Tracking Transients in Steelpan Drum Strikes Using Surveillance Technology—0
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation—0
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study—0
Estimation of mitral valve hinge point coordinates -- deep neural net for echocardiogram segmentation—0
Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns—0
EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation—0
Evaluating and Enhancing Segmentation Model Robustness with Metamorphic Testing—0
Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentation—0
Evaluation of Classifiers for Image Segmentation: Applications for Eucalypt Forest Inventory—0
Evaluation of Dirichlet Process Gaussian Mixtures for Segmentation on Noisy Hyperspectral Images—0
Evaluation of Extra Pixel Interpolation with Mask Processing for Medical Image Segmentation with Deep Learning—0
Evaluation of Image Segmentation and Filtering With ANN in the Papaya Leaf—0
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation—0
Quantification of geogrid lateral restraint using transparent sand and deep learning-based image segmentation—0
Event management for large scale event-driven digital hardware spiking neural networks—0
Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images—0
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation—0
EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images—0
Evolutionary Prompt Optimization Discovers Emergent Multimodal Reasoning Strategies in Vision-Language Models—0
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey—0
Evolving Fuzzy Image Segmentation with Self-Configuration—0
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation—0
Exemplar-Based Face Parsing—0
Exemplar Learning for Medical Image Segmentation—0
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations—0
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey—0
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All datasetsMSD (Mirror Segmentation Dataset)PMDMAS3KPascal Panoptic PartsRMASPASCAL VOCHuTu 80MARIDACOCO val2017ImageNetMSD HeartOxfordPets

Benchmark Results

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