Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition

Event-based cameras are suitable for human action recognition (HAR) by providing movement perception with highly dynamic range, high temporal resolution, high power efficiency and low latency. Spike Neural Networks (SNNs) are naturally suited to deal with the asynchronous and sparse data from the ev...

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Detalhes bibliográficos

Principais autores:	Xinxu Lin, Mingxuan Liu, Hong Chen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2024-11-01
coleção:	Frontiers in Computational Neuroscience
Assuntos:	spiking neural network human action recognition transformer attention branch event-based vision
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fncom.2024.1508297/full
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