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Segmentation

Papers

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Showing 9951–10000 of 13072 papers

TitleStatusHype
UADSN: Uncertainty-Aware Dual-Stream Network for Facial Nerve Segmentation—0
RemoteNet: Remote Sensing Image Segmentation Network based on Global-Local Information—0
Ubernet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory—0
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation—0
UCP-Net: Unstructured Contour Points for Instance Segmentation—0
UCS: A Universal Model for Curvilinear Structure Segmentation—0
UCSYNLP-Lab Machine Translation Systems for WAT 2019—0
UdeerLID+: Integrating LiDAR, Image, and Relative Depth with Semi-Supervised—0
UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model—0
UltraBones100k: A reliable automated labeling method and large-scale dataset for ultrasound-based bone surface extraction—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
ULTra: Unveiling Latent Token Interpretability in Transformer Based Understanding—0
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving—0
Unbiased Sparse Subspace Clustering By Selective Pursuit—0
Unbiasing Semantic Segmentation For Robot Perception using Synthetic Data Feature Transfer—0
Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps—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 Incremental Learning for Multi-organ Segmentation—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 Proposal Segmentation for Unknown Object Detection—0
Uncertainty-Aware Semi-Supervised Few Shot Segmentation—0
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond—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-driven and Adversarial Calibration Learning for Epicardial Adipose Tissue Segmentation—0
Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D networks with label uncertainty—0
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation—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 estimation in Deep Learning for Panoptic segmentation—0
Uncertainty Estimation in Deep Neural Networks for Point Cloud Segmentation in Factory Planning—0
Uncertainty Estimation in Instance Segmentation with Star-convex Shapes—0
Uncertainty Gated Network for Land Cover Segmentation—0
Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing—0
Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images—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 in Minimum Cost Multicuts for Image and Motion Segmentation—0
Uncertainty Modeling in Ultrasound Image Segmentation for Precise Fetal Biometric Measurements—0
Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks—0
Uncertainty Quantification for Eosinophil Segmentation—0
Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification—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
Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images—0
Weakly Supervised Intracranial Hemorrhage Segmentation with YOLO and an Uncertainty Rectified Segment Anything Model—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified