4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 4 cited
Deep Learning Classification With Noisy Labels
Guillaume Sanchez, Vincente Guis, Ricard Marxer +1
Deep Learning systems have shown tremendous accuracy in image classification, at the cost of big image datasets. Collecting such amounts of data can lead to labelling errors in the…
cs.CV2015
Fourier descriptors based on the structure of the human primary visual cortex with applications to object recognition
Amine Bohi, Dario Prandi, Vincente Guis +2
In this paper we propose a supervised object recognition method using new global features and inspired by the model of the human primary visual cortex V1 as the semidiscrete roto-t…