Master's Thesis : Deep Learning for Visual Recognition

The goal of our research is to develop methods advancing automatic visual recognition. In order to predict the unique or multiple labels associated to an image, we study different kind of Deep Neural Networks architectures and methods for supervised features learning. We first draw up a state-of-the...

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Veröffentlicht in:	arXiv.org 2016-10
Hauptverfasser:	Cadène, Rémi, Thome, Nicolas, Cord, Matthieu
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Datasets Deep learning Neural networks Recognition Satellite imagery State-of-the-art reviews Statistical models Visual tasks
Online-Zugang:	Volltext
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