55 citations · 174 across the 17 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.CV2020★ 4 cited
Bookworm continual learning: beyond zero-shot learning and continual learning
Kai Wang, Luis Herranz, Anjan Dutta +1
We propose bookworm continual learning(BCL), a flexible setting where unseen classes can be inferred via a semantic model, and the visual model can be updated continually. Thus BCL…
cs.CV2020★ 9 cited
Simple and effective localized attribute representations for zero-shot learning
Shiqi Yang, Kai Wang, Luis Herranz +1
Zero-shot learning (ZSL) aims to discriminate images from unseen classes by exploiting relations to seen classes via their semantic descriptions. Some recent papers have shown the…
cs.CV2020★ 15 cited
Semantic Drift Compensation for Class-Incremental Learning
Lu Yu, Bartłomiej Twardowski, Xialei Liu +5
Class-incremental learning of deep networks sequentially increases the number of classes to be classified. During training, the network has only access to data of one task at a tim…