3 papers
cs.CV2019
Dataset Culling: Towards Efficient Training Of Distillation-Based Domain Specific Models
Kentaro Yoshioka, Edward Lee, Simon Wong +1
Real-time CNN-based object detection models for applications like surveillance can achieve high accuracy but are computationally expensive. Recent works have shown 10 to 100x reduc…
cs.CV2018
Training Domain Specific Models for Energy-Efficient Object Detection
Kentaro Yoshioka, Edward Lee, Mark Horowitz
We propose an end-to-end framework for training domain specific models (DSMs) to obtain both high accuracy and computational efficiency for object detection tasks. DSMs are trained…
cs.NE2016
Convolutional Neural Networks using Logarithmic Data Representation
Daisuke Miyashita, Edward H. Lee, Boris Murmann
Recent advances in convolutional neural networks have considered model complexity and hardware efficiency to enable deployment onto embedded systems and mobile devices. For example…