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This article proposes to study the behavior of recent and efficientstate-of-the-art deep-learning based image descriptors for content-based imageretrieval, facing a panel of complex variations appearing in heterogeneousimage datasets, in particular in cultural collections that may involvemulti-source, multi-date and multi-view Permission to make digital

Challenging deep image descriptors for retrieval in heterogeneous iconographic collections