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20172025
most citedTowards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision

2 citations · 2 across the 3 of their papers we have counts for

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cs.CV2017★ 2 cited

Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision

Amr Suleiman, Yu-Hsin Chen, Joel Emer +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 applicati…