no code implementations • ICCV 2023 • Nikolaos-Antonios Ypsilantis, KaiFeng Chen, Bingyi Cao, Mário Lipovský, Pelin Dogan-Schönberger, Grzegorz Makosa, Boris Bluntschli, Mojtaba Seyedhosseini, Ondřej Chum, André Araujo
In this work, we address the problem of universal image embedding, where a single universal model is trained and used in multiple domains.
no code implementations • 3 Feb 2022 • Nikolaos-Antonios Ypsilantis, Noa Garcia, Guangxing Han, Sarah Ibrahimi, Nanne van Noord, Giorgos Tolias
Testing is primarily performed on photos taken by museum guests depicting exhibits, which introduces a distribution shift between training and testing.