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 2451–2500 of 5035 papers

TitleStatusHype
Interactive Video Object Segmentation in the Wild—0
Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning—0
Learning to Segment Skin Lesions from Noisy Annotations—0
Learning Confident Classifiers in the Presence of Label Noise—0
Data variation-aware medical image segmentation—0
Automated Pavement Crack Segmentation Using U-Net-based Convolutional Neural Network—0
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation—0
Deep Bayesian U-Nets for Efficient, Robust and Reliable Post-Disaster Damage Localization—0
Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks—0
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images—0
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?—0
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation—0
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection—0
Learning to segment with image-level supervision—0
InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization—0
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation—0
Deep Compatible Learning for Partially-Supervised Medical Image Segmentation—0
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss—0
Introducing A Novel Method For Adaptive Thresholding In Brain Tumor Medical Image Segmentation—0
Introducing Geometry in Active Learning for Image Segmentation—0
Introducing Hann windows for reducing edge-effects in patch-based image segmentation—0
Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation—0
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors—0
Introduction to Camera Pose Estimation with Deep Learning—0
Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation—0
Inverse Quantum Fourier Transform Inspired Algorithm for Unsupervised Image Segmentation—0
Inverse Renormalization Group Transformation in Bayesian Image Segmentations—0
Invertible Residual Network with Regularization for Effective Medical Image Segmentation—0
Data privacy protection in microscopic image analysis for material data mining—0
Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation—0
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation—0
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction—0
Influence of image segmentation on one-dimensional fluid dynamics predictions in the mouse pulmonary arteries—0
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation—0
A MRF Shape Prior for Facade Parsing With Occlusions—0
Inferring M-Best Diverse Labelings in a Single One—0
Iris recognition in cases of eye pathology—0
Iris Recognition with a Database of Iris Images Obtained in Visible Light Using Smartphone Camera—0
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation—0
Inference of hidden structures in complex physical systems by multi-scale clustering—0
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning—0
Indirect Supervision to Mitigate Perturbations—0
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation—0
Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation—0
Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention—0
A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation—0
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation—0
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation—0
Incremental Class Discovery for Semantic Segmentation with RGBD Sensing—0
Data-driven Verification of DNNs for Object Recognition—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