no code implementations • 5 Feb 2021 • Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu
The general approach is to learn a mapping from visual data to semantic prototypes, then use it at inference to classify visual samples from the class prototypes only.
no code implementations • 6 Oct 2020 • Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu
Zero-shot learning aims to recognize instances of unseen classes, for which no visual instance is available during training, by learning multimodal relations between samples from seen classes and corresponding class semantic representations.
no code implementations • 6 Aug 2020 • Yannick Le Cacheux, Adrian Popescu, Hervé Le Borgne
When the number of classes is large, classes are usually represented by semantic class prototypes learned automatically from unannotated text collections.
no code implementations • ICCV 2019 • Yannick Le Cacheux, Herve Le Borgne, Michel Crucianu
Recognizing visual unseen classes, i. e. for which no training data is available, is known as Zero Shot Learning (ZSL).
no code implementations • 26 Sep 2018 • Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu
Zero-shot learning (ZSL) is concerned with the recognition of previously unseen classes.