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 24512475 of 5035 papers

TitleStatusHype
Interactive Video Object Segmentation in the Wild0
Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning0
Automated Pavement Crack Segmentation Using U-Net-based Convolutional Neural Network0
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?0
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection0
Interior point search for nonparametric image segmentation0
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation0
Deep Bayesian U-Nets for Efficient, Robust and Reliable Post-Disaster Damage Localization0
Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks0
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images0
Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model0
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation0
InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization0
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors0
Data privacy protection in microscopic image analysis for material data mining0
Influence of image segmentation on one-dimensional fluid dynamics predictions in the mouse pulmonary arteries0
Deep Compatible Learning for Partially-Supervised Medical Image Segmentation0
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss0
Introducing A Novel Method For Adaptive Thresholding In Brain Tumor Medical Image Segmentation0
Introducing Geometry in Active Learning for Image Segmentation0
Introducing Hann windows for reducing edge-effects in patch-based image segmentation0
Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation0
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation0
Introduction to Camera Pose Estimation with Deep Learning0
A MRF Shape Prior for Facade Parsing With Occlusions0
Show:102550
← PrevPage 99 of 202Next →

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