NDLI: Accelerating real-time embedded scene labeling with convolutional networks

Content Provider	IEEE Xplore Digital Library
Author	Cavigelli, L. Magno, M. Benini, L.
Copyright Year	2015
Description	Author affiliation: Integrated Syst. Lab., ETH Zurich, Zurich, Switzerland (Cavigelli, L.; Magno, M.; Benini, L.)
Abstract	Today there is a clear trend towards deploying advanced computer vision (CV) systems in a growing number of application scenarios with strong real-time and power constraints. Brain-inspired algorithms capable of achieving record-breaking results combined with embedded vision systems are the best candidate for the future of CV and video systems due to their flexibility and high accuracy in the area of image understanding. In this paper, we present an optimized convolutional network implementation suitable for real-time scene labeling on embedded platforms. We show that our algorithm can achieve up to 96GOp/s, running on the Nvidia Tegra K1 embedded SoC. We present experimental results, compare them to the state-of-the-art, and demonstrate that for scene labeling our approach achieves a 1.5x improvement in throughput when compared to a modern desktop CPU at a power budget of only 11 W.
Starting Page	1
Ending Page	6
File Size	1113297
Page Count	6
File Format	PDF
ISBN	9781479980529
DOI	10.1145/2744769.2744788
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Association for Computing Machinery, Inc. (ACM)
Subject Keyword	Throughput Convolution Labeling Feature extraction Graphics processing units Real-time systems Performance evaluation Convolutional Networks Accelerator Scene Labeling
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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