Challenging Deep Image Descriptors For Retrieval In Heterogeneous Iconographic Collections
Dimitri Gominski, Martyna Poreba, Valérie Gouet-Brunet, Liming Chen . Proceedings of the 1st Workshop on Structuring and Understanding of Multimedia heritAge Contents 2019 – 6 citations
[Paper]
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