Real-Time Image Recognition Using Collaborative IoT Devices-Reference-Cited by-同舟云学术

Real-Time Image Recognition Using Collaborative IoT Devices

Published:2018-06-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st on Reproducible Quality-Efficient Systems Tournament on Co-designing Pareto-efficient Deep Learning
language:
Short-container-title:

Author:

Hadidi Ramyad¹,Cao Jiashen¹,Woodward Matthew¹,Ryoo Michael S.²,Kim Hyesoon¹

Affiliation:

1. Georgia Institute of Technology, USA

2. Indiana University, USA; EgoVid Inc., Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3229762.3229765

Reference13 articles.

1. A. Krizhevsky I. Sutskever and G. E. Hinton "Imagenet Classification With Deep Convolutional Neural Networks " in Advances in Neural Information Processing Systems (NIPS) pp. 1097-1105 2012. A. Krizhevsky I. Sutskever and G. E. Hinton "Imagenet Classification With Deep Convolutional Neural Networks " in Advances in Neural Information Processing Systems (NIPS) pp. 1097-1105 2012.

2. K. Simonyan and A. Zisserman "Very Deep Convolutional Networks for Large-Scale Image Recognition " in International Conference on Learning Representations (ICLR) 2015. K. Simonyan and A. Zisserman "Very Deep Convolutional Networks for Large-Scale Image Recognition " in International Conference on Learning Representations (ICLR) 2015.

3. R. Hadidi J. Cao M. Woodward M. Ryoo and H. Kim "Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices " ArXiv e-prints:1802.02138. R. Hadidi J. Cao M. Woodward M. Ryoo and H. Kim "Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices " ArXiv e-prints:1802.02138 .

4. ImageNet Large Scale Visual Recognition Challenge

5. R. P. Foundation "Raspberry Pi 3." https://www.raspberrypi.org/products/raspberry-pi-3-model-b/ 2018. [Online; accessed 5/1/18]. R. P. Foundation "Raspberry Pi 3." https://www.raspberrypi.org/products/raspberry-pi-3-model-b/ 2018. [Online; accessed 5/1/18].

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