3 papers
cs.CV2023
DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari +5
Out-of-distribution (OOD) generalization poses a serious challenge for modern deep learning (DL). OOD data consists of test data that is significantly different from the model's tr…
cs.CV2023
DOMINO: Domain-aware Loss for Deep Learning Calibration
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari +5
Deep learning has achieved the state-of-the-art performance across medical imaging tasks; however, model calibration is often not considered. Uncalibrated models are potentially da…
eess.SY2022
Information-Aware Guidance for Magnetic Anomaly based Navigation
J. Humberto Ramos, Jaejeong Shin, Kyle Volle +3
In the absence of an absolute positioning system, such as GPS, autonomous vehicles are subject to accumulation of positional error which can interfere with reliable performance. Im…