Deep ancient Roman Republican coin classification via feature fusion and attention

Anwar H, Anwar S, Zambanini S, Porikli F (2021)

Publication Type: Journal article

Publication year: 2021

Journal

Pattern Recognition Elsevier

Book Volume: 114

Article Number: 107871

DOI: 10.1016/j.patcog.2021.107871

Abstract

We perform the classification of ancient Roman Republican coins via recognizing their reverse motifs where various objects, faces, scenes, animals, and buildings are minted along with legends. Most of these coins are eroded due to their age and varying degrees of preservation, thereby affecting their informative attributes for visual recognition. Changes in the positions of principal symbols on the reverse motifs also cause huge variations among the coin types. Lastly, in-plane orientations, uneven illumination, and a moderate background clutter further make the classification task non-trivial and challenging. To this end, we present a novel network model, CoinNet, that employs compact bilinear pooling, residual groups, and feature attention layers. Furthermore, we gathered the largest and most diverse image dataset of the Roman Republican coins that contains more than 18,000 images belonging to 228 different reverse motifs. On this dataset, our model achieves a classification accuracy of more than 98% and outperforms the conventional bag-of-visual-words based approaches and more recent state-of-the-art deep learning methods. We also provide a detailed ablation study of our network and its generalization capability.

Authors with CRIS profile

Hafeez Anwar Juniorprofessur für Digital Humanities mit Schwerpunkt Kunstgeschichte

Involved external institutions

Australian National University (ANU) AU Australia (AU) Technische Universität Wien / Vienna University of Technology AT Austria (AT) Commonwealth Scientific and Industrial Research Organisation (CSIRO) AU Australia (AU)

How to cite

APA:

Anwar, H., Anwar, S., Zambanini, S., & Porikli, F. (2021). Deep ancient Roman Republican coin classification via feature fusion and attention. Pattern Recognition, 114. https://dx.doi.org/10.1016/j.patcog.2021.107871

MLA:

Anwar, Hafeez, et al. "Deep ancient Roman Republican coin classification via feature fusion and attention." Pattern Recognition 114 (2021).

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