Tag: uncertainty estimation

GraphLane combined three-frame context, uncertainty-weighted graph reasoning and road-geometry constraints to improve lane-coordinate estimates in a CULane study, although its ...

A narrative review finds that deep-learning synthetic CT can improve cone-beam CT images and dose calculations, but clinical validation remains ...

Researchers have developed AdaTent++, a test-time adaptation framework that routes each unlabeled frame through reliability-gated paths to improve traffic sign ...

Researchers have unveiled BCFW, a consensus firewall for Proof-of-Authority blockchains that pairs an FT-Transformer intrusion detector with aleatoric uncertainty estimates ...

An Indian research team has developed GraphX, an explainable graph transformer framework that classifies nail diseases with 94.97 percent accuracy ...

Researchers have combined neutrosophic set theory with deep feature geometry to give pretrained neural networks an interpretable, three-part measure of ...

A new multi-stream deep learning framework called MS-AtroNet combines convolutional, state-space, wavelet, and evidential components to classify Alzheimer's MRI slices ...

A new conflict-aware framework teaches vision-language models to align their own uncertainty with tool confidence, reject unreliable OCR output, and ...

Researchers have developed an uncertainty-aware monocular vision framework that assigns full anisotropic covariance matrices to spacecraft keypoints, achieving top-tier pose ...

A new semi-supervised AI framework called URDT-Net combines dual-teacher learning, topology-aware training, and an early-exit mechanism to segment abdominal organs ...