most citedAn Out-of-the-box Full-network Embedding for Convolutional Neural Networks

7 citations · 7 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2021

A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification

E. Ulises Moya-Sánchez, Sebastiá Xambo-Descamps, Abraham Sánchez +2

Convolutional Neural Networks (ConvNets) at present achieve remarkable performance in image classification tasks. However, current ConvNets cannot guarantee the capabilities of the…

cs.LG2017★ 7 cited

An Out-of-the-box Full-network Embedding for Convolutional Neural Networks

Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés +5

Transfer learning for feature extraction can be used to exploit deep representations in contexts where there is very few training data, where there are limited computational resour…