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 1551–1600 of 5035 papers

TitleStatusHype
Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Technique—0
Breast Cancer Detection Using Deep Learning Technique Based On Ultrasound Image—0
Eelgrass beds and oyster farming at a lagoon before and after the Great East Japan Earthquake 2011: potential to apply deep learning at a coastal area—0
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation—0
Breaking The Ice: Video Segmentation for Close-Range Ice-Covered Waters—0
Anisotropic Mesh Adaptation for Image Segmentation Based on Mumford-Shah Functional—0
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding—0
EditAR: Unified Conditional Generation with Autoregressive Models—0
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images—0
An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation—0
EDC3: Ensemble of Deep-Classifiers using Class-specific Copula functions to Improve Semantic Image Segmentation—0
Transfer Learning with Edge Attention for Prostate MRI Segmentation—0
ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions—0
Advanced Image Segmentation Techniques for Neural Activity Detection via C-fos Immediate Early Gene Expression—0
An Interactive Medical Image Segmentation Framework Using Iterative Refinement—0
Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion—0
Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation—0
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks—0
EFCNet: Every Feature Counts for Small Medical Object Segmentation—0
Effective Cloud Detection and Segmentation using a Gradient-Based Algorithm for Satellite Imagery; Application to improve PERSIANN-CCS—0
Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models—0
EAVL: Explicitly Align Vision and Language for Referring Image Segmentation—0
Bridging Category-level and Instance-level Semantic Image Segmentation—0
Efficient 2D neuron boundary segmentation with local topological constraints—0
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features—0
Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions during Clinical Evaluation of Medical Images—0
Efficient and Invariant Convolutional Neural Networks for Dense Prediction—0
Efficient Bayesian Uncertainty Estimation for nnU-Net—0
EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation—0
Brain Tumor Segmentation from MRI Images using Deep Learning Techniques—0
Efficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks—0
An Iterative Convolutional Neural Network Algorithm Improves Electron Microscopy Image Segmentation—0
Early Fusion of Features for Semantic Segmentation—0
Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices—0
Efficient Information Theoretic Clustering on Discrete Lattices—0
Efficient Knowledge Distillation of SAM for Medical Image Segmentation—0
Brain Tumor Segmentation: A Comparative Analysis—0
Efficiently Troubleshooting Image Segmentation Models with Human-In-The-Loop—0
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis—0
Efficient Medical Image Restoration via Reliability Guided Learning in Frequency Domain—0
Brain Tumor Detection Based On Mathematical Analysis and Symmetry Information—0
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets—0
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks—0
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation—0
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation—0
Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation—0
Efficient OCT Image Segmentation Using Neural Architecture Search—0
Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis—0
Brain Tumor Detection Based on Bilateral Symmetry Information—0
Deep models for stroke segmentation: do complex architectures always perform better?—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