1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 1 cited
Ordinal Pooling
Adrien Deliège, Maxime Istasse, Ashwani Kumar +2
In the framework of convolutional neural networks, downsampling is often performed with an average-pooling, where all the activations are treated equally, or with a max-pooling ope…
cs.CV2021★ 1 cited
Ghost Loss to Question the Reliability of Training Data
Adrien Deliège, Anthony Cioppa, Marc Van Droogenbroeck
Supervised image classification problems rely on training data assumed to have been correctly annotated; this assumption underpins most works in the field of deep learning. In cons…
physics.data-an2014
Monofractal nature of air temperature signals reveals their climate variability
Adrien Deliège, Samuel Nicolay
We use the discrete "wavelet transform microscope" to show that the surface air temperature signals of weather stations selected in Europe are monofractal. This study reveals that…