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SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking

SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2378462378

SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking

About this item

Full title

SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-06

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Recently spiking neural networks (SNNs), the third-generation of neural networks has shown remarkable capabilities of energy-efficient computing, which is a promising alternative for deep neural networks (DNNs) with high energy consumption. SNNs have reached competitive results compared to DNNs in relatively simple tasks and small datasets such as...

Alternative Titles

Full title

SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2378462378

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2378462378

Other Identifiers

E-ISSN

2331-8422

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