AccuMO: Accuracy-Centric Multitask Offloading in Edge-Assisted Mobile Augmented Reality

Author:

Kong Z. Jonny1ORCID,Xu Qiang2ORCID,Meng Jiayi3ORCID,Hu Y. Charlie1ORCID

Affiliation:

1. School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, United States of America

2. School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA

3. Department of Computer Science, Purdue University, West Lafayette, Indiana, United States of America

Funder

National Science Foundation

Cisco Research

Publisher

ACM

Reference76 articles.

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2. MathWorks 2022. MATLAB Coder. MathWorks Natick USA. MathWorks 2022. MATLAB Coder. MathWorks Natick USA.

3. Tencent 2022. ncnn: a high-performance neural network inference computing framework optimized for mobile platforms. Tencent Shenzhen China. Tencent 2022. ncnn: a high-performance neural network inference computing framework optimized for mobile platforms. Tencent Shenzhen China.

4. MathWorks 2022. Sensor Fusion and Tracking Toolbox. MathWorks Natick USA. MathWorks 2022. Sensor Fusion and Tracking Toolbox. MathWorks Natick USA.

5. Adel Ahmadyan and Tingbo Hou . 2020 . Real-Time 3D Object Detection on Mobile Devices with MediaPipe . Retrieved July 13, 2022 from https://ai.googleblog.com/2020/03/real-time-3d-object-detection-on-mobile.html Adel Ahmadyan and Tingbo Hou. 2020. Real-Time 3D Object Detection on Mobile Devices with MediaPipe. Retrieved July 13, 2022 from https://ai.googleblog.com/2020/03/real-time-3d-object-detection-on-mobile.html

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