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Frontiers in Neuroscience
(May 2023)
Corrigendum: SCTN: event-based object tracking with energy-efficient deep convolutional spiking neural networks
Mingcheng Ji,
Ziling Wang,
Rui Yan,
Qingjie Liu,
Shu Xu,
Huajin Tang,
Huajin Tang
Affiliations
Mingcheng Ji
College of Computer Science and Technology, Zhejiang University, Hangzhou, China
Ziling Wang
College of Computer Science and Technology, Zhejiang University, Hangzhou, China
Rui Yan
College of Computer Science, Zhejiang University of Technology, Hangzhou, China
Qingjie Liu
Machine Intelligence Laboratory, China Nanhu Academy of Electronics and Information Technology, Jiaxing, China
Shu Xu
Machine Intelligence Laboratory, China Nanhu Academy of Electronics and Information Technology, Jiaxing, China
Huajin Tang
College of Computer Science and Technology, Zhejiang University, Hangzhou, China
Huajin Tang
Zhejiang Lab, Hangzhou, China
DOI
https://doi.org/10.3389/fnins.2023.1204334
Journal volume & issue
Vol. 17
Abstract
Read online
No abstracts available.
Keywords
spiking neural networks
event cameras
object tracking
exponential IoU
event-based tracking dataset
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