8 citations · 18 across the 9 of their papers we have counts for
Showing 2018 · cs.CVShow all
3 papers · 2 filters
cs.CV2018
Spatially-weighted Anomaly Detection
Minori Narita, Daiki Kimura, Ryuki Tachibana
Many types of anomaly detection methods have been proposed recently, and applied to a wide variety of fields including medical screening and production quality checking. Some metho…
cs.CV2018
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention
Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar +4
This paper is a contribution towards interpretability of the deep learning models in different applications of time-series. We propose a temporal attention layer that is capable of…
cs.CV2018
DAQN: Deep Auto-encoder and Q-Network
Daiki Kimura
The deep reinforcement learning method usually requires a large number of training images and executing actions to obtain sufficient results. When it is extended a real-task in the…