1 code implementation • 1 Mar 2022 • N. Passalis, S. Pedrazzi, R. Babuska, W. Burgard, D. Dias, F. Ferro, M. Gabbouj, O. Green, A. Iosifidis, E. Kayacan, J. Kober, O. Michel, N. Nikolaidis, P. Nousi, R. Pieters, M. Tzelepi, A. Valada, A. Tefas
Also, most of the existing DL methods follow a static inference paradigm, as inherited by the traditional computer vision pipelines, ignoring active perception, which can be employed to actively interact with the environment in order to increase perception accuracy.
1 code implementation • 15 Jul 2020 • A. H. Nielsen, A. Iosifidis, H. Karstoft
As the evaluation of video prediction is difficult in practice, we aim for a thorough evaluation in the spatial and temporal domain.