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

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Showing 2351–2400 of 5035 papers

TitleStatusHype
Federated Data Model—0
Federated Contrastive Learning for Volumetric Medical Image Segmentation—0
FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation—0
Clustering Approach Towards Image Segmentation: An Analytical Study—0
A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation—0
Feature Sensitive Label Fusion with Random Walker for Atlas-based Image Segmentation—0
Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation—0
A Quorum Sensing Inspired Algorithm for Dynamic Clustering—0
Feature Selective Transformer for Semantic Image Segmentation—0
Feature Fusion through Multitask CNN for Large-scale Remote Sensing Image Segmentation—0
Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation—0
Feature-enhanced Adversarial Semi-supervised Semantic Segmentation Network for Pulmonary Embolism Annotation—0
Cloud Cover Nowcasting with Deep Learning—0
Feature Decoupling-Recycling Network for Fast Interactive Segmentation—0
Clothing Co-Parsing by Joint Image Segmentation and Labeling—0
FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image—0
FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation—0
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation—0
A quantum segmentation algorithm based on local adaptive threshold for NEQR image—0
A Formal Evaluation of PSNR as Quality Measurement Parameter for Image Segmentation Algorithms—0
A Comprehensive Review of U-Net and Its Variants: Advances and Applications in Medical Image Segmentation—0
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images—0
FBNet: Feature Balance Network for Urban-Scene Segmentation—0
Closer to Ground Truth: Realistic Shape and Appearance Labeled Data Generation for Unsupervised Underwater Image Segmentation—0
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision—0
Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation—0
A Quantum Fuzzy-based Approach for Real-Time Detection of Solar Coronal Holes—0
Fast unsupervised Bayesian image segmentation with adaptive spatial regularisation—0
Fast Submodular Function Maximization—0
CLiSA: A Hierarchical Hybrid Transformer Model using Orthogonal Cross Attention for Satellite Image Cloud Segmentation—0
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy—0
A First Derivative Potts Model for Segmentation and Denoising Using ILP—0
Fast Semantic Image Segmentation with High Order Context and Guided Filtering—0
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer—0
Fast Recurrent Fully Convolutional Networks for Direct Perception in Autonomous Driving—0
Fast probabilistic snake algorithm—0
CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor—0
Fast Marching Energy CNN—0
Clickstream analysis for crowd-based object segmentation with confidence—0
A Priori Generalizability Estimate for a CNN—0
A Finite Element Computational Framework for Active Contours on Graphs—0
A Comprehensive Review of Modern Object Segmentation Approaches—0
Fast image segmentation and restoration using parametric curve evolution with junctions and topology changes—0
ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation—0
Clicks2Line: Using Lines for Interactive Image Segmentation—0
Faster Multi-Object Segmentation Using Parallel Quadratic Pseudo-Boolean Optimization—0
Fast Edge Detection Using Structured Forests—0
Fast Constraint Propagation for Image Segmentation—0
Clicking Matters:Towards Interactive Human Parsing—0
A Principled Deep Random Field Model for Image Segmentation—0
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All datasetsMSD (Mirror Segmentation Dataset)PMDMAS3KPascal Panoptic PartsRMASPASCAL VOCHuTu 80MARIDACOCO val2017ImageNetMSD HeartOxfordPets

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92—Unverified
2HetNetIoU0.83—Unverified
3PMDIoU0.82—Unverified
4SANetIoU0.8—Unverified
5MirrorNetIoU0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73—Unverified
2HetNetIoU0.69—Unverified
3SANetIoU0.67—Unverified
4PMDIoU0.66—Unverified
5MirrorNetIoU0.59—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8—Unverified
2MAS-SAMmIoU0.79—Unverified
3MASNetmIoU0.74—Unverified
4ZoomNetmIoU0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8—Unverified
2PPSmIoUPartS58.6—Unverified
3HIPIE (ResNet-50)mIoUPartS57.2—Unverified
4JPPFmIoUPartS54.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74—Unverified
2SAM2-UNetmIoU0.74—Unverified
3MASNetmIoU0.73—Unverified
4ZoomNetmIoU0.73—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6—Unverified
2OneNete,4-SmAP0.552.75—Unverified
3OneNeted,4mIoU14.9—Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98—Unverified
2PALEDDice0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67—Unverified
2UNetIoU0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97—Unverified