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 32263250 of 5035 papers

TitleStatusHype
MixCL: Pixel label matters to contrastive learning0
Polar Transformation Based Multiple Instance Learning Assisting Weakly Supervised Image Segmentation With Loose Bounding Box AnnotationsCode0
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no RetrainingCode0
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI0
Image analysis for automatic measurement of crustose lichens0
Uncertainty categories in medical image segmentation: a study of source-related diversity0
Topology-Preserving Segmentation Network: A Deep Learning Segmentation Framework for Connected Component0
Application of DatasetGAN in medical imaging: preliminary studies0
Data variation-aware medical image segmentation0
Thermal hand image segmentation for biometric recognition0
Mixed-Block Neural Architecture Search for Medical Image Segmentation0
An Efficient Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total VariationCode0
A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements0
Box Supervised Video Segmentation Proposal NetworkCode0
A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification0
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training0
Lifting-based variational multiclass segmentation algorithm: design, convergence analysis, and implementation with applications in medical imagingCode0
Wireless Transmission of Images With The Assistance of Multi-level Semantic Information0
Supervision by Denoising for Medical Image Segmentation0
SODA: Self-organizing data augmentation in deep neural networks -- Application to biomedical image segmentation tasks0
A Topology-Attention ConvLSTM Network and Its Application to EM ImagesCode0
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network AcceleratorsCode0
Heed the Noise in Performance Evaluations in Neural Architecture Search0
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation0
DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts0
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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