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 35513575 of 5035 papers

TitleStatusHype
Assessing the Role of Random Forests in Medical Image Segmentation0
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image SegmentationCode0
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future0
Instance segmentation with the number of clusters incorporated in embedding learning0
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches0
Test-Time Training for Deformable Multi-Scale Image Registration0
Contextual Information Enhanced Convolutional Neural Networks for Retinal Vessel Segmentation in Color Fundus Images0
Machine Learning-based Automatic Graphene Detection with Color Correction for Optical Microscope Images0
Multiview and Multiclass Image Segmentation using Deep Learning in Fetal Echocardiography0
Roughness Index and Roughness Distance for Benchmarking Medical SegmentationCode0
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation0
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation0
Pathological Image Segmentation with Noisy Labels0
Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline0
Improving Image co-segmentation via Deep Metric Learning0
Topology-Aware Segmentation Using Discrete Morse Theory0
Hierarchical Random Walker Segmentation for Large Volumetric Biomedical Images0
Color image segmentation based on a convex K-means approach0
Semi-Supervised Learning for Eye Image Segmentation0
K-expectiles clustering0
Invertible Residual Network with Regularization for Effective Medical Image Segmentation0
GSVNet: Guided Spatially-Varying Convolution for Fast Semantic Segmentation on VideoCode0
Image Segmentation Methods for Non-destructive testing Applications0
Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation0
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTsCode0
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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