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 28012825 of 5035 papers

TitleStatusHype
Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images0
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation0
EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images0
Evolutionary Prompt Optimization Discovers Emergent Multimodal Reasoning Strategies in Vision-Language Models0
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey0
Evolving Fuzzy Image Segmentation with Self-Configuration0
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation0
Exemplar-Based Face Parsing0
Exemplar Learning for Medical Image Segmentation0
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors0
Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations0
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey0
Explainable, automated urban interventions to improve pedestrian and vehicle safety0
Explainable Binary Classification of Separable Shape Ensembles0
Explainable Semantic Medical Image Segmentation with Style0
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training0
Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets0
Explicit topological priors for deep-learning based image segmentation using persistent homology0
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data0
Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning0
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis0
Exploring and Exploiting Diversity for Image Segmentation0
Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma Data using Style Transfer, Semantic Image Segmentation and Ensemble Learning0
Exploring Context with Deep Structured models for Semantic Segmentation0
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery0
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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