Now showing items 1-2 of 2
Domain adaptation via data augmentation
(Georgia Institute of Technology, 2020-04-28)
Deep learning (DL) models require large labeled datasets for training. Practitioners often need to adapt an existing DL model to a different domain. For instance, a practitioner in a company developing autonomous vehicles ...
Spatio-temporal data interpolation for dynamic scene analysis
(Georgia Institute of Technology, 2012-01-06)
Analysis and visualization of dynamic scenes is often constrained by the amount of spatio-temporal information available from the environment. In most scenarios, we have to account for incomplete information and sparse ...