Benchmarking Video Object Detection Systems on Embedded Devices under Resource Contention-Reference-Cited by-同舟云学术

Benchmarking Video Object Detection Systems on Embedded Devices under Resource Contention

Published:2021-06-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning
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Author:

Lee Jayoung¹,Wang Pengcheng¹,Xu Ran¹,Dasari Venkat²,Weston Noah²,Li Yin³,Bagchi Saurabh¹,Chaterji Somali¹

Affiliation:

1. Purdue University

2. Army Research Lab

3. University of Wisconsin at Madison

Funder

Army Research Laboratory

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3469116.3470010

Reference24 articles.

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2. NVIDIA Corporation. 2021. NVIDIA Jetson Linux Developer Guide. https://docs.nvidia.com/jetson/l4t/index.html#page/Tegra%20Linux%20Driver%20Package%20Development%20Guide/power_management_jetson_xavier.html#wwpID0E0VO0HA. NVIDIA Corporation. 2021. NVIDIA Jetson Linux Developer Guide. https://docs.nvidia.com/jetson/l4t/index.html#page/Tegra%20Linux%20Driver%20Package%20Development%20Guide/power_management_jetson_xavier.html#wwpID0E0VO0HA.

3. Jifeng Dai Yi Li Kaiming He and Jian Sun. 2016. R-FCN: Object detection via region-based fully convolutional networks. In NeurIPS. 379--387. Jifeng Dai Yi Li Kaiming He and Jian Sun. 2016. R-FCN: Object detection via region-based fully convolutional networks. In NeurIPS. 379--387.

4. Jiajun Deng Yingwei Pan Ting Yao Wengang Zhou Houqiang Li and Tao Mei. 2019. Relation distillation networks for video object detection. In ICCV. 7023--7032. Jiajun Deng Yingwei Pan Ting Yao Wengang Zhou Houqiang Li and Tao Mei. 2019. Relation distillation networks for video object detection. In ICCV. 7023--7032.

5. NestDNN

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