6 citations · 6 across the 2 of their papers we have counts for
3 papers
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…
Semantic Signatures for Large-scale Visual Localization
Li Weng, Valerie Gouet-Brunet, Bahman Soheilian
Visual localization is a useful alternative to standard localization techniques. It works by utilizing cameras. In a typical scenario, features are extracted from captured images a…
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…