TY - CONF AU - Asma Bensalah AU - Pau Riba AU - Alicia Fornes AU - Josep Llados A2 - GREC PY - 2019// TI - Shoot less and Sketch more: An Efficient Sketch Classification via Joining Graph Neural Networks and Few-shot Learning BT - 13th IAPR International Workshop on Graphics Recognition SP - 80 EP - 85 KW - Sketch classification KW - Convolutional Neural Network KW - Graph Neural Network KW - Few-shot learning N2 - 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. L1 - http://refbase.cvc.uab.es/files/BRF2019.pdf N1 - DAG; 600.140; 601.302; 600.121 ID - Asma Bensalah2019 ER -