2 papers
cs.CV2023
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation
Sara Björk, Stian N. Anfinsen, Michael Kampffmeyer +3
In prediction of forest parameters with data from remote sensing (RS), regression models have traditionally been trained on a small sample of ground reference data. This paper prop…
cs.LG2022
Simpler is better: spectral regularization and up-sampling techniques for variational autoencoders
Sara Björk, Jonas Nordhaug Myhre, Thomas Haugland Johansen
Full characterization of the spectral behavior of generative models based on neural networks remains an open issue. Recent research has focused heavily on generative adversarial ne…