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Logarithmic Morphological Neural Nets robust to lighting variations

Logarithmic Morphological Neural Nets robust to lighting variations

Guillaume Noyel
Emile Barbier--Renard
M. Jourlin
T. Fournel
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Papers citing "Logarithmic Morphological Neural Nets robust to lighting variations"

5 / 5 papers shown
Title
Going beyond p-convolutions to learn grayscale morphological operators
Going beyond p-convolutions to learn grayscale morphological operators
Alexandre Kirszenberg
Guillaume Tochon
Élodie Puybareau
Jesús Angulo
AI4CE
39
13
0
19 Feb 2021
Truly shift-invariant convolutional neural networks
Truly shift-invariant convolutional neural networks
Anadi Chaman
Ivan Dokmanić
61
71
0
28 Nov 2020
Morphological Network: How Far Can We Go with Morphological Neurons?
Morphological Network: How Far Can We Go with Morphological Neurons?
Ranjan Mondal
Sanchayan Santra
Soumendu Sundar Mukherjee
Bhabatosh Chanda
AI4CE
38
12
0
01 Jan 2019
Detail-Preserving Pooling in Deep Networks
Detail-Preserving Pooling in Deep Networks
Faraz Saeedan
Nicolas Weber
Michael Goesele
Stefan Roth
78
91
0
11 Apr 2018
Improving Shadow Suppression for Illumination Robust Face Recognition
Improving Shadow Suppression for Illumination Robust Face Recognition
Wuming Zhang
Xi Zhao
J. Morvan
Liming Chen
CVBM
30
119
0
13 Oct 2017

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