13 code implementations • 4 Dec 2016 • Bichen Wu, Alvin Wan, Forrest Iandola, Peter H. Jin, Kurt Keutzer
In addition to requiring high accuracy to ensure safety, object detection for autonomous driving also requires real-time inference speed to guarantee prompt vehicle control, as well as small model size and energy efficiency to enable embedded system deployment.
no code implementations • 14 Nov 2016 • Peter H. Jin, Qiaochu Yuan, Forrest Iandola, Kurt Keutzer
Training time on large datasets for deep neural networks is the principal workflow bottleneck in a number of important applications of deep learning, such as object classification and detection in automatic driver assistance systems (ADAS).
no code implementations • 10 Dec 2015 • Peter H. Jin, Kurt Keutzer
In this work, we present a MCTS-based Go-playing program which uses convolutional networks in all parts.