Towards closing the energy gap between HOG and CNN features for embedded vision

Towards closing the energy gap between HOG and CNN features for embedded vision

Show other versions (1)

Computer vision enables a wide range of applications in robotics/drones, self-driving cars, smart Internet of Things, and portable/wearable electronics. For many of these applications, local embedded processing is preferred due to privacy and/or latency concerns. Accordingly, energy-efficient embedd...

Full description

Bibliographic Details
Main Authors: Suleiman, Amr AbdulZahir, Chen, Yu-Hsin, Emer, Joel S, Sze, Vivienne
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2020
Online Access:https://hdl.handle.net/1721.1/128737

Internet

https://hdl.handle.net/1721.1/128737

Similar Items