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 42514300 of 5035 papers

TitleStatusHype
Studying the Plasticity in Deep Convolutional Neural Networks using Random PruningCode1
Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images0
The algorithm of formation of a training set for an artificial neural network for image segmentation0
Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual EffectsCode0
Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method0
SwipeCut: Interactive Segmentation with Diversified Seed Proposals0
OCTID: Optical Coherence Tomography Image Database0
Weakly Supervised Instance Segmentation Using Hybrid Network0
Image Segmentation Based on Multiscale Fast Spectral Clustering0
Non-local U-Net for Biomedical Image SegmentationCode1
A New Ensemble Learning Framework for 3D Biomedical Image SegmentationCode0
A High-Order Scheme for Image Segmentation via a modified Level-Set method0
Graph Cut Segmentation Methods Revisited with a Quantum Algorithm0
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss0
Interactive Full Image Segmentation by Considering All Regions Jointly0
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking0
Brain Segmentation from k-space with End-to-end Recurrent Attention Network0
Elastic Boundary Projection for 3D Medical Image SegmentationCode0
Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble ModelCode0
SUSAN: Segment Unannotated image Structure using Adversarial Network0
XNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasetsCode0
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features0
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation0
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-PriorsCode0
On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent0
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training0
Phase Collaborative Network for Two-Phase Medical Image Segmentation0
CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss0
Foreground Clustering for Joint Segmentation and Localization in Videos and Images0
Chan-Vese Reformulation for Selective Image Segmentation0
Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning0
Semi-Supervised Semantic Image Segmentation with Self-correcting Networks0
The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features0
Deep Learning Approach for Building Detection in Satellite Multispectral Imagery0
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net0
Validating Hyperspectral Image SegmentationCode0
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary NetworksCode0
Deep feature transfer between localization and segmentation tasks0
Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures0
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scansCode0
Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks0
Consistent estimation of the max-flow problem: Towards unsupervised image segmentation0
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial LearningCode0
Accelerated Inference in Markov Random Fields via Smooth Riemannian OptimizationCode0
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary CellsCode1
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation0
Saliency guided deep network for weakly-supervised image segmentation0
Fast Graph-Cut Based Optimization for Practical Dense Deformable Registration of Volume ImagesCode0
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentationCode0
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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