Challenging deep image descriptors for retrieval in heterogeneous iconographic collections

09/19/2019

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by   Dimitri Gominski, et al.

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