Practical Block-Wise Neural Network Architecture Generation

• Published in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 2423 - 2432
• Main Authors: Zhong, Zhao, Yan, Junjie, Wu, Wei, Shao, Jing, Liu, Cheng-Lin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2018
• Subjects: Computer architecture; Convolutional codes; Convolutional neural networks; Indexes; Network architecture; Task analysis

Convolutional neural networks have gained a remarkable success in computer vision. However, most usable network architectures are hand-crafted and usually require expertise and elaborate design. In this paper, we provide a block-wise network generation pipeline called BlockQNN which automatically bu...