Large Scale Few Shot Learning via Multi modal Knowledge Discovery
European Conference on Computer Vision, pp. 718-734, 2020.
Large-scale few-shot learning aims at identifying hundreds of novel object categories where each category has only a few samples. It is a challenging problem since (1) the identifying process is susceptible to over-fitting with limited samples of an object, and (2) the sample imbalance between a base (known knowledge) category and a novel...More
Full Text (Upload PDF)
PPT (Upload PPT)