no code implementations • 29 Mar 2019 • Zhan Yang, Osolo Ian Raymond, Wuqing Sun, Jun Long
However, we argue that the current deep learning based hashing methods ignore some critical problems (e. g., the learned hash codes are not discriminative due to the hashing methods being unable to discover rich semantic information and the training strategy having difficulty optimizing the discrete binary codes).
no code implementations • 13 Mar 2019 • Jun Long, WuQing Sun, Zhan Yang, Osolo Ian Raymond
Human Activity Recognition (HAR) using deep neural network has become a hot topic in human-computer interaction.
no code implementations • 4 Dec 2018 • Zhan Yang, Osolo Ian Raymond, Wuqing Sun, Jun Long
The core idea is to use guided hash codes which are generated by the hashing network of the first stream framework (called first hashing network) to guide the training of the hashing network of the second stream framework (called second hashing network).
no code implementations • 31 Jul 2018 • Zhan Yang, Osolo Ian Raymond, ChengYuan Zhang, Ying Wan, Jun Long
Using the quantization method proposed, we were able to achieve performances closer to that of full-precision counterpart.