SSF: Accelerating Training of Spiking Neural Networks with Stabilized Spiking Flow-Reference-Cited by-同舟云学术

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SSF: Accelerating Training of Spiking Neural Networks with Stabilized Spiking Flow

Published:2023-10-01 Issue: Volume:34 Page:5959-5968
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Wang Jingtao¹,Song Zengjie²,Wang Yuxi³,Xiao Jun¹,Yang Yuran⁴,Mei Shuqi⁴,Zhang Zhaoxiang¹

Affiliation:

1. University of Chinese Academy of Sciences

2. Xi’an Jiaotong University

3. Centre for Artificial Intelligence and Robotics, HKISI-CAS

4. Tencent

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10378608.pdf?arnumber=10378608

Reference42 articles.

1. Error-backpropagation in temporally encoded networks of spiking neurons

2. Optimized Potential Initialization for Low-Latency Spiking Neural Networks

3. Optimal ann-snn conversion for high-accuracy and ultra-low-latency spiking neural networks;Bu

4. Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information

5. ImageNet: A large-scale hierarchical image database

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