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 3651–3700 of 5035 papers

TitleStatusHype
Two Decades of Colorization and Decolorization for Images and Videos—0
Two layer Ensemble of Deep Learning Models for Medical Image Segmentation—0
Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation—0
Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism—0
Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation—0
Two stages for visual object tracking—0
Two-Stream UNET Networks for Semantic Segmentation in Medical Images—0
RemoteNet: Remote Sensing Image Segmentation Network based on Global-Local Information—0
UGformer for Robust Left Atrium and Scar Segmentation Across Scanners—0
UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model—0
UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks—0
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer—0
Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic Feature Co-Registration—0
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving—0
Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation—0
Unbiasing Semantic Segmentation For Robot Perception using Synthetic Data Feature Transfer—0
Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous Medical Image Segmentation—0
Bayesian Neural Networks for 2D MRI Segmentation—0
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation—0
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation—0
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction—0
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation—0
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation—0
Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation—0
Uncertainty-based method for improving poorly labeled segmentation datasets—0
Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection—0
Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation—0
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling—0
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation—0
Uncertainty guided semi-supervised segmentation of retinal layers in OCT images—0
Uncertainty Modeling in Ultrasound Image Segmentation for Precise Fetal Biometric Measurements—0
Uncertainty Quantification for Eosinophil Segmentation—0
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI—0
Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net—0
UNCERTAINTY QUANTIFICATION USING VARIATIONAL INFERENCE FOR BIOMEDICAL IMAGE SEGMENTATION—0
Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images—0
Understanding Deep Learning Techniques for Image Segmentation—0
Understanding Important Features of Deep Learning Models for Transmission Electron Microscopy Image Segmentation—0
Understanding Neural Pathways in Zebrafish through Deep Learning and High Resolution Electron Microscope Data—0
Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape—0
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture—0
UNet-3D with Adaptive TverskyCE Loss for Pancreas Medical Image Segmentation—0
U-Net and its variants for medical image segmentation: theory and applications—0
U-Net and its variants for Medical Image Segmentation : A short review—0
UNet++ and LSTM combined approach for Breast Ultrasound Image Segmentation—0
UNet#: A UNet-like Redesigning Skip Connections for Medical Image Segmentation—0
U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images—0
UNet Based Pipeline for Lung Segmentation from Chest X-Ray Images—0
U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities—0
U-Netmer: U-Net meets Transformer for medical image 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