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 33513400 of 5035 papers

TitleStatusHype
Learning Foreground-Background Segmentation from Improved Layered GANs0
Topology-Preserving 3D Image Segmentation Based On Hyperelastic Regularization0
FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationCode1
Self-Guided and Cross-Guided Learning for Few-Shot SegmentationCode1
Locate then Segment: A Strong Pipeline for Referring Image Segmentation0
Is segmentation uncertainty useful?Code1
Assessing the Role of Random Forests in Medical Image Segmentation0
Boundary IoU: Improving Object-Centric Image Segmentation EvaluationCode1
CateNorm: Categorical Normalization for Robust Medical Image SegmentationCode1
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image SegmentationCode0
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder TransformersCode1
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future0
Instance segmentation with the number of clusters incorporated in embedding learning0
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches0
Contextual Information Enhanced Convolutional Neural Networks for Retinal Vessel Segmentation in Color Fundus Images0
Test-Time Training for Deformable Multi-Scale Image Registration0
Machine Learning-based Automatic Graphene Detection with Color Correction for Optical Microscope Images0
Learning Versatile Neural Architectures by Propagating Network CodesCode1
Multiview and Multiclass Image Segmentation using Deep Learning in Fetal Echocardiography0
Roughness Index and Roughness Distance for Benchmarking Medical SegmentationCode0
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation0
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation0
Pathological Image Segmentation with Noisy Labels0
Improving Image co-segmentation via Deep Metric Learning0
Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline0
UNETR: Transformers for 3D Medical Image SegmentationCode3
Topology-Aware Segmentation Using Discrete Morse Theory0
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image SegmentationCode1
Color image segmentation based on a convex K-means approach0
Hierarchical Random Walker Segmentation for Large Volumetric Biomedical Images0
Semi-Supervised Learning for Eye Image Segmentation0
Invertible Residual Network with Regularization for Effective Medical Image Segmentation0
GSVNet: Guided Spatially-Varying Convolution for Fast Semantic Segmentation on VideoCode0
K-expectiles clustering0
Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image SegmentationCode1
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image SegmentationCode1
Image Segmentation Methods for Non-destructive testing Applications0
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTsCode0
Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation0
Full Page Handwriting Recognition via Image to Sequence ExtractionCode2
PointFlow: Flowing Semantics Through Points for Aerial Image SegmentationCode1
U-Net Transformer: Self and Cross Attention for Medical Image SegmentationCode1
Deep Superpixel Cut for Unsupervised Image Segmentation0
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency SpaceCode1
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient0
Principal component-based image segmentation: a new approach to outline in vitro cell colonies0
Capturing Omni-Range Context for Omnidirectional SegmentationCode1
Dual-Task Mutual Learning for Semi-Supervised Medical Image SegmentationCode1
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information RegularizationCode1
High-Resolution Segmentation of Tooth Root Fuzzy Edge Based on Polynomial Curve Fitting with Landmark Detection0
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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