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 4001–4050 of 5035 papers

TitleStatusHype
Explainable, automated urban interventions to improve pedestrian and vehicle safety—0
Explainable Binary Classification of Separable Shape Ensembles—0
Explainable Semantic Medical Image Segmentation with Style—0
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training—0
Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets—0
Explicit topological priors for deep-learning based image segmentation using persistent homology—0
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data—0
Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning—0
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis—0
Exploring and Exploiting Diversity for Image Segmentation—0
Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma Data using Style Transfer, Semantic Image Segmentation and Ensemble Learning—0
Exploring Context with Deep Structured models for Semantic Segmentation—0
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery—0
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions—0
Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems—0
Exploring Fungal Morphology Simulation and Dynamic Light Containment from a Graphics Generation Perspective—0
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation—0
Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation—0
Exploring PCA-based feature representations of image pixels via CNN to enhance food image segmentation—0
Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology—0
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation—0
Exploring the Effects of Data Augmentation for Drivable Area Segmentation—0
Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice—0
Extracting Semantic Knowledge from GANs with Unsupervised Learning—0
Extracting the Subhalo Mass Function from Strong Lens Images with Image Segmentation—0
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan?—0
ExtremeMETA: High-speed Lightweight Image Segmentation Model by Remodeling Multi-channel Metamaterial Imagers—0
Facade Segmentation in the Wild—0
Face Identification with Second-Order Pooling—0
Face Mask Extraction in Video Sequence—0
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation—0
Fair Federated Medical Image Segmentation via Client Contribution Estimation—0
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks—0
FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation—0
Fashioning with Networks: Neural Style Transfer to Design Clothes—0
Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method—0
Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models—0
Fast Barcode Retrieval for Consensus Contouring—0
Fast Constraint Propagation for Image Segmentation—0
Fast Edge Detection Using Structured Forests—0
Faster Multi-Object Segmentation Using Parallel Quadratic Pseudo-Boolean Optimization—0
Fast image segmentation and restoration using parametric curve evolution with junctions and topology changes—0
Fast Marching Energy CNN—0
Fast probabilistic snake algorithm—0
Fast Recurrent Fully Convolutional Networks for Direct Perception in Autonomous Driving—0
Fast Semantic Image Segmentation with High Order Context and Guided Filtering—0
Fast Submodular Function Maximization—0
Fast unsupervised Bayesian image segmentation with adaptive spatial regularisation—0
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision—0
FBNet: Feature Balance Network for Urban-Scene 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