no code implementations • 5 Jan 2021 • Yann Lifchitz, Yannis Avrithis, Sylvaine Picard
The challenge in few-shot learning is that available data is not enough to capture the underlying distribution.
no code implementations • 18 Feb 2020 • Yann Lifchitz, Yannis Avrithis, Sylvaine Picard
This motivates us to study a problem where the representation is obtained from a classifier pre-trained on a large-scale dataset of a different domain, assuming no access to its training process, while the base class data are limited to few examples per class and their role is to adapt the representation to the domain at hand rather than learn from scratch.
no code implementations • CVPR 2019 • Yann Lifchitz, Yannis Avrithis, Sylvaine Picard, Andrei Bursuc
Training deep neural networks from few examples is a highly challenging and key problem for many computer vision tasks.