5 citations · 5 across the 1 of their papers we have counts for
3 papers
cs.LG2019★ 5 cited
Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector
Junghoon Seo, Seungwon Lee, Beomsu Kim +1
Automatic post-disaster damage detection using aerial imagery is crucial for quick assessment of damage caused by disaster and development of a recovery plan. The main problem prev…
cs.NE2018
Quantization for Rapid Deployment of Deep Neural Networks
Jun Haeng Lee, Sangwon Ha, Saerom Choi +2
This paper aims at rapid deployment of the state-of-the-art deep neural networks (DNNs) to energy efficient accelerators without time-consuming fine tuning or the availability of t…
cs.NE2018
Training Deep Neural Network in Limited Precision
Hyunsun Park, Jun Haeng Lee, Youngmin Oh +2
Energy and resource efficient training of DNNs will greatly extend the applications of deep learning. However, there are three major obstacles which mandate accurate calculation in…