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 33763400 of 5035 papers

TitleStatusHype
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection0
Background-Foreground Segmentation for Interior Sensing in Automotive Industry0
Bacterial foraging optimization based brain magnetic resonance image segmentation0
BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World0
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks0
BAGNet: Bidirectional Aware Guidance Network for Malignant Breast lesions Segmentation0
Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists0
BATseg: Boundary-aware Multiclass Spinal Cord Tumor Segmentation on 3D MRI Scans0
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability0
Bayesian Active Contours with Affine-Invariant, Elastic Shape Prior0
Bayesian Deep Learning Approaches for Uncertainty-Aware Retinal OCT Image Segmentation for Multiple Sclerosis0
Bayesian image segmentations by Potts prior and loopy belief propagation0
Bayesian Logistic Shape Model Inference: application to cochlea image segmentation0
Bayesian Multifractal Image Segmentation0
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers0
Bayesian nonparametric image segmentation using a generalized Swendsen-Wang algorithm0
Bayesian optimization for modular black-box systems with switching costs0
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation0
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation0
Bellybutton: Accessible and Customizable Deep-Learning Image Segmentation0
Practical Guidelines for Cell Segmentation Models Under Optical Aberrations in Microscopy0
Benefiting from Quantum? A Comparative Study of Q-Seg, Quantum-Inspired Techniques, and U-Net for Crack Segmentation0
Benefits of Linear Conditioning with Metadata for Image Segmentation0
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation0
Bethe Learning of Conditional Random Fields via MAP Decoding0
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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