SOTAVerified

Segmentation

Papers

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Showing 9951–9975 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
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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