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 10511100 of 5035 papers

TitleStatusHype
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement LearningCode1
HS-ResNet: Hierarchical-Split Block on Convolutional Neural NetworkCode1
Automatic Data Augmentation for 3D Medical Image SegmentationCode1
Local Label Point Correction for Edge Detection of Overlapping Cervical CellsCode1
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
Referring Image Segmentation via Cross-Modal Progressive ComprehensionCode1
Linguistic Structure Guided Context Modeling for Referring Image SegmentationCode1
RefVOS: A Closer Look at Referring Expressions for Video Object SegmentationCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scansCode1
Towards Musically Meaningful Explanations Using Source SeparationCode1
Disentangled Representations for Domain-generalized Cardiac SegmentationCode1
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image SegmentationCode1
PhraseCut: Language-based Image Segmentation in the WildCode1
ForkGAN: Seeing into the Rainy NightCode1
MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed ImagesCode1
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical ImagesCode1
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image SegmentationCode1
Unsupervised Learning of Image Segmentation Based on Differentiable Feature ClusteringCode1
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without AnnotationCode1
Integrative Analysis for COVID-19 Patient Outcome PredictionCode1
Autoregressive Unsupervised Image SegmentationCode1
On uncertainty estimation in active learning for image segmentationCode1
Semi-supervised Task-driven Data Augmentation for Medical Image SegmentationCode1
Superpixel Segmentation using Dynamic and Iterative Spanning ForestCode1
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
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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