Real-Time Object Detection on Edge Devices Using Mobile Neural Networks-Reference-Cited by-同舟云学术

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Real-Time Object Detection on Edge Devices Using Mobile Neural Networks

Published:2024-01-24 Issue: Volume:13 Page:1-4
ISSN:
Container-title:2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)
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Author:

K Jose Reena¹,Nigam Charul²,Kirubasri G.³,Jayachitra S.⁴,Aeron Anurag⁵,Suganthi D.⁶

Affiliation:

1. VISTAS,Department of Computer Science,Chennai,Tamilnadu,India

2. Institute of Information Technology and Management,Department of IT,New Delhi,India

3. Sona College of Technology,Department of Computer Science and Engineering,Salem,Tamilnadu,India

4. PSNA College of Engineering and Technology,Department of ECE,Dindigul,Tamilnadu,India

5. DIT University Dehradun,School of Computing,Department of Computer Science and Engineering,Dehradun,India

6. Saveetha College of Liberal Arts and Sciences, SIMATS,Department of Computer Science and Engineering,Thandalam, Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10467176/10467219/10467220.pdf?arnumber=10467220

Reference15 articles.

1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

2. Combining CNNs and Markov-like Models for Facial Landmark Detection with Spatial Consistency Estimates

3. Detection of Crime Scene Objects using Deep Learning Techniques;Nandhini

4. Anomaly Detection in Self-Organizing Mobile Networks Motivated by Quality of Experience

5. Detection of Deauthentication Threats in Wi-Fi Channels Using Machine Learning Strategies

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