A high-rate two-stream spiking network with a lightweight gated fusion unit achieves 94.9% on THU EACT-50 and enables early prediction within 100 ms.
An overview of Human Action Recognition in sports based on Computer Vision,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks
A high-rate two-stream spiking network with a lightweight gated fusion unit achieves 94.9% on THU EACT-50 and enables early prediction within 100 ms.