EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks.
Ziming WangZiling WangHuaning LiLang QinRunhao JiangDe MaHuajin TangPublished in: CoRR (2024)
Keyphrases
- end to end
- spiking neural networks
- adaptive sampling
- biologically inspired
- text localization and recognition
- evolutionary algorithm
- feed forward
- learning rules
- artificial neural networks
- training algorithm
- congestion control
- monte carlo
- nearest neighbor
- random sampling
- data sets
- state space
- support vector machine
- support vector
- biologically plausible
- feature extraction
- real time