2 code implementations • 23 Apr 2020 • Artur Jordao, Fernando Akio, Maiko Lie, William Robson Schwartz
Motivated by this, we propose a NAS approach to efficiently design accurate and low-cost convolutional architectures and demonstrate that an efficient strategy for designing these architectures is to learn the depth stage-by-stage.
2 code implementations • 5 Oct 2019 • Artur Jordao, Maiko Lie, Victor Hugo Cunha de Melo, William Robson Schwartz
Dimensionality reduction plays an important role in computer vision problems since it reduces computational cost and is often capable of yielding more discriminative data representation.