In this paper we propose a method for logo recognition using deep learning. Our recognition pipeline is composed of a logo region proposal followed by a Convolutional Neural Network (CNN) specifically trained for logo classification, even if they are not precisely localized. Experiments are carried out on the FlickrLogos-32 database, and we evaluate the effect on recognition performance of synthetic versus real data augmentation, and image pre-processing. Moreover, we systematically investigate the benefits of different training choices such as class-balancing, sample-weighting and explicit modeling the background class (i.e. no-logo regions). Experimental results confirm the feasibility of the proposed method, that outperforms the methods in the state of the art.

Bianco, S., Buzzelli, M., Mazzini, D., Schettini, R. (2017). Deep learning for logo recognition. NEUROCOMPUTING, 245, 23-30 [10.1016/j.neucom.2017.03.051].

Deep learning for logo recognition

BIANCO, SIMONE
;
BUZZELLI, MARCO
Secondo
;
MAZZINI, DAVIDE
Penultimo
;
SCHETTINI, RAIMONDO
Ultimo
2017

Abstract

In this paper we propose a method for logo recognition using deep learning. Our recognition pipeline is composed of a logo region proposal followed by a Convolutional Neural Network (CNN) specifically trained for logo classification, even if they are not precisely localized. Experiments are carried out on the FlickrLogos-32 database, and we evaluate the effect on recognition performance of synthetic versus real data augmentation, and image pre-processing. Moreover, we systematically investigate the benefits of different training choices such as class-balancing, sample-weighting and explicit modeling the background class (i.e. no-logo regions). Experimental results confirm the feasibility of the proposed method, that outperforms the methods in the state of the art.
Articolo in rivista - Articolo scientifico
Convolutional Neural Network; Data augmentation; Deep Learning; FlickrLogos-32; Logo recognition; Computer Science Applications1707 Computer Vision and Pattern Recognition; Cognitive Neuroscience; Artificial Intelligence
English
2017
245
23
30
reserved
Bianco, S., Buzzelli, M., Mazzini, D., Schettini, R. (2017). Deep learning for logo recognition. NEUROCOMPUTING, 245, 23-30 [10.1016/j.neucom.2017.03.051].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/150543
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