2019
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
ICLR 2019poster
In this paper, we propose a novel Convolutional Neural Network (CNN) architecture for learning multi-scale feature representations with good tradeoffs between speed and accuracy. This is achieved by using a multi-branch network, which has different computational complexity at different branches with…