In this paper we investigate the problem of Grocery product recognition using iconic images. Iconic images are used to advertise products and they are very different from images that are captured in-store. We investigate the use of learned features for the retrieval process. We evaluated different feature extraction strategies using Convolutional Neural Networks (CNNs) and tested the CNNs on the Grocery Store image dataset that contains 81 product categories grouped into 43 coarse-grained classes and 3 macro classes. Results show that a Siamese network with a DenseNet-169 backbone better captures relations between iconic and in-store images outperforming other architectures in the retrieval task.

Ciocca, G., Napoletano, P., Locatelli, S. (2021). Iconic-Based Retrieval of Grocery Images via Siamese Neural Network. In Pattern Recognition. ICPR International Workshops and Challenges (pp.269-281). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-68790-8_22].

Iconic-Based Retrieval of Grocery Images via Siamese Neural Network

Ciocca, Gianluigi
;
Napoletano, Paolo;
2021

Abstract

In this paper we investigate the problem of Grocery product recognition using iconic images. Iconic images are used to advertise products and they are very different from images that are captured in-store. We investigate the use of learned features for the retrieval process. We evaluated different feature extraction strategies using Convolutional Neural Networks (CNNs) and tested the CNNs on the Grocery Store image dataset that contains 81 product categories grouped into 43 coarse-grained classes and 3 macro classes. Results show that a Siamese network with a DenseNet-169 backbone better captures relations between iconic and in-store images outperforming other architectures in the retrieval task.
slide + paper
Domain adaptation; Grocery products recognition; Image retrieval; Siamese Neural Networks;
English
25th International Conference on Pattern Recognition Workshops, ICPR 2020
2021
Del Bimbo, Alberto; Cucchiara, Rita; Sclaroff, Stan; Farinella, Giovanni Maria; Mei, Tao; Bertini, Marco; Escalante, Hugo Jair; Vezzani, Roberto
Pattern Recognition. ICPR International Workshops and Challenges
978-3-030-68789-2
2021
12662
269
281
reserved
Ciocca, G., Napoletano, P., Locatelli, S. (2021). Iconic-Based Retrieval of Grocery Images via Siamese Neural Network. In Pattern Recognition. ICPR International Workshops and Challenges (pp.269-281). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-68790-8_22].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/308441
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