Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/131064
Title: Wavelet pooling for convolutional neural networks
Author: Ferrà Marcús, Aina
Director/Tutor: Radeva, Petia
Keywords: Ondetes (Matemàtica)
Visió per ordinador
Programari
Treballs de fi de grau
Processament d'imatges
Xarxes neuronals (Informàtica)
Wavelets (Mathematics)
Computer vision
Computer software
Image processing
Neural networks (Computer science)
Bachelor's thesis
Issue Date: 27-Jun-2018
Abstract: [en] Wavelets are mathematical functions that are currently used in many computer vision problems, such as image denoising or image compression. In this work, first we will study all the basic theory about wavelets, in order to understand them and build a basic knowledge that allows us to develop another application. For such purpose, we propose two pooling methods based on wavelets: one based on simple wavelet basis and one that combines two basis working in parallel. We will test them and show that they can be used at the same level of performance as max and average pooling.
Note: Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2018, Director: Petia Radeva,
URI: http://hdl.handle.net/2445/131064
Appears in Collections:Treballs Finals de Grau (TFG) - Enginyeria Informàtica
Programari - Treballs de l'alumnat

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