Advancing Image Classification with Phase-coded Ultra-Efficient Spiking Neural Networks-Reference-Cited by-同舟云学术

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Advancing Image Classification with Phase-coded Ultra-Efficient Spiking Neural Networks

Published:2024-05-19 Issue: Volume:33 Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Cai Zhengyu¹,Kalatehbali Hamid Rahimian²,Walters Ben³,Azghadi Mostafa Rahimi³,Genov Roman¹,Amirsoleimani Amirali²

Affiliation:

1. University of Toronto,Department of Electrical and Computer Engineering,Toronto,Canada

2. York University,Department of Electrical Engineering and Computer Science,Toronto,Canada

3. James Cook University,College of Science and Engineering,Townsville,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10557746/10557828/10557875.pdf?arnumber=10557875

Reference37 articles.

1. Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

2. Object Detection in 20 Years: A Survey

3. Networks of spiking neurons: The third generation of neural network models

4. Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection

5. Event-Based Angular Velocity Regression with Spiking Networks

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