TNAS-ER uses an ANN-assisted evolutionary search to optimize TTFS SNN architectures, achieving high emotion recognition performance with improved energy efficiency on neuromorphic hardware.
You only spike once: Improving energy-efficient neuromorphic inference to ann-level accuracy.arXiv preprint arXiv:2006.09982, 2020
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NE 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks for Efficient Eye-based Emotion Recognition
TNAS-ER uses an ANN-assisted evolutionary search to optimize TTFS SNN architectures, achieving high emotion recognition performance with improved energy efficiency on neuromorphic hardware.