4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.CV2020★ 4 cited
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
Iro Laina, Ruth C. Fong, Andrea Vedaldi
The increasing impact of black box models, and particularly of unsupervised ones, comes with an increasing interest in tools to understand and interpret them. In this paper, we con…
cs.CV2019
Occlusions for Effective Data Augmentation in Image Classification
Ruth Fong, Andrea Vedaldi
Deep networks for visual recognition are known to leverage "easy to recognise" portions of objects such as faces and distinctive texture patterns. The lack of a holistic understand…