Towards memory-efficient inference in edge video analytics-Reference-Cited by-同舟云学术

Towards memory-efficient inference in edge video analytics

Published:2021-10-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd ACM Workshop on Hot Topics in Video Analytics and Intelligent Edges
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Author:

Padmanabhan Arthi¹,Iyer Anand Padmanabha²,Ananthanarayanan Ganesh²,Shu Yuanchao²,Karianakis Nikolaos²,Xu Guoqing Harry³,Netravali Ravi⁴

Affiliation:

1. Microsoft & UCLA

2. Microsoft Research

3. UCLA

4. Princeton University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477083.3480150

Reference38 articles.

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2. 2021. https://techcommunity.microsoft.com/t5/internet-of-things/live-video-analytics-with-microsoft-rocket-for-reducing-edge/ba-p/1522305 2021. https://techcommunity.microsoft.com/t5/internet-of-things/live-video-analytics-with-microsoft-rocket-for-reducing-edge/ba-p/1522305

3. 2021. AWS Outposts. https://aws.amazon.com/outposts/ 2021. AWS Outposts. https://aws.amazon.com/outposts/

4. 2021. Azure Stack Edge. https://azure.microsoft.com/en-us/services/databox/edge/ 2021. Azure Stack Edge. https://azure.microsoft.com/en-us/services/databox/edge/

5. 2021. CUDA Multi-Process Service. https://web.archive.org/web/20200228183056/https://docs.nvidia.com/deploy/mps/index.html 2021. CUDA Multi-Process Service. https://web.archive.org/web/20200228183056/https://docs.nvidia.com/deploy/mps/index.html

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