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cs.CV2021
Connecting Images through Time and Sources: Introducing Low-data, Heterogeneous Instance Retrieval
Dimitri Gominski, Valérie Gouet-Brunet, Liming Chen
With impressive results in applications relying on feature learning, deep learning has also blurred the line between algorithm and data. Pick a training dataset, pick a backbone ne…
cs.CV2019
Challenging deep image descriptors for retrieval in heterogeneous iconographic collections
Dimitri Gominski, Martyna Poreba, Valérie Gouet-Brunet +1
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 comp…