29 citations · 50 across the 3 of their papers we have counts for
3 papers
cs.CV2015★ 29 cited
Exploiting Local Structures with the Kronecker Layer in Convolutional Networks
Shuchang Zhou, Jia-Nan Wu, Yuxin Wu +1
In this paper, we propose and study a technique to reduce the number of parameters and computation time in convolutional neural networks. We use Kronecker product to exploit the lo…
cs.CV2015★ 17 cited
Incidental Scene Text Understanding: Recent Progresses on ICDAR 2015 Robust Reading Competition Challenge 4
Cong Yao, Jianan Wu, Xinyu Zhou +4
Different from focused texts present in natural images, which are captured with user's intention and intervention, incidental texts usually exhibit much more diversity, variability…
cs.NE2015★ 4 cited
Compression of Fully-Connected Layer in Neural Network by Kronecker Product
Shuchang Zhou, Jia-Nan Wu
In this paper we propose and study a technique to reduce the number of parameters and computation time in fully-connected layers of neural networks using Kronecker product, at a mi…