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 10761100 of 5035 papers

TitleStatusHype
Scribble-based Domain Adaptation via Co-segmentationCode1
An Elastic Interaction-Based Loss Function for Medical Image SegmentationCode1
Anatomical Data Augmentation via Fluid-based Image RegistrationCode1
Learning to Segment from Scribbles using Multi-scale Adversarial Attention GatesCode1
Robust Semantic Segmentation in Adverse Weather Conditions by means of Fast Video-Sequence SegmentationCode1
Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image SegmentationCode1
A survey of loss functions for semantic segmentationCode1
Affinity Fusion Graph-based Framework for Natural Image SegmentationCode1
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-NetCode1
Realistic Adversarial Data Augmentation for MR Image SegmentationCode1
HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide imagesCode1
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual RecognitionCode1
Video Semantic Segmentation with Distortion-Aware Feature CorrectionCode1
Contrastive learning of global and local features for medical image segmentation with limited annotationsCode1
Cardiac Segmentation with Strong Anatomical GuaranteesCode1
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric UncertaintyCode1
KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete RepresentationsCode1
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
Uncertainty quantification in medical image segmentation with normalizing flowsCode1
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trialCode1
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images SegmentationCode1
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image SegmentationCode1
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image SegmentationCode1
Traditional Method Inspired Deep Neural Network for Edge DetectionCode1
Lung Segmentation from Chest X-rays using Variational Data ImputationCode1
Show:102550
← PrevPage 44 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