@InProceedings{AsmaBensalah2019,
author="Asma Bensalah
and Pau Riba
and Alicia Fornes
and Josep Llados",
title="Shoot less and Sketch more: An Efficient Sketch Classification via Joining Graph Neural Networks and Few-shot Learning",
booktitle="13th IAPR International Workshop on Graphics Recognition",
year="2019",
pages="80--85",
optkeywords="Sketch classification",
optkeywords="Convolutional Neural Network",
optkeywords="Graph Neural Network",
optkeywords="Few-shot learning",
abstract="With the emergence of the touchpad devices and drawing tablets, a new era of sketching started afresh. However, the recognition of sketches is still a tough task due to the variability of the drawing styles. Moreover, in some application scenarios there is few labelled data available for training,which imposes a limitation for deep learning architectures. In addition, in many cases there is a need to generate models able to adapt to new classes. In order to cope with these limitations, we propose a method based on few-shot learning and graph neural networks for classifying sketches aiming for an efficient neural model. We test our approach with several databases ofsketches, showing promising results.",
optnote="DAG; 600.140; 601.302; 600.121",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3354), last updated on Tue, 24 Nov 2020 12:27:52 +0100",
file=":http://refbase.cvc.uab.es/files/BRF2019.pdf:PDF"
}