Towards closing the energy gap between HOG and CNN features for embedded vision
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...
Main Authors: | Suleiman, Amr AbdulZahir (Author), Chen, Yu-Hsin (Author), Emer, Joel S (Author), Sze, Vivienne (Author) |
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Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Microsystems Technology Laboratories (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2020-12-04T22:55:48Z.
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Subjects: | |
Online Access: | Get fulltext |
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