Deep ancient Roman Republican coin classification via feature fusion and attention

Hafeez Anwar,Saeed Anwar,Sebastian Zambanini,Fatih Porikli

CoRR（2021）

引用 14|浏览43

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摘要

•Motif recognition on ancient Roman coins with 98.5% accuracy on 100 classes.•Largest ancient coin dataset presented so far.•Compact Linear Pooling of two models’ feature output for better performance.•Generalization ability of method is demonstrated on 128 unseen classes.

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关键词

Coins dataset,Compact bilinear pooling,Convolutional networks,Visual attention,Residual blocks,Deep learning in art’s history,Roman Republican coins

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