3 papers
cs.CV2023
Training Robust Spiking Neural Networks with ViewPoint Transform and SpatioTemporal Stretching
Haibo Shen, Juyu Xiao, Yihao Luo +3
Neuromorphic vision sensors (event cameras) simulate biological visual perception systems and have the advantages of high temporal resolution, less data redundancy, low power consu…
cs.NE2022
Training Stronger Spiking Neural Networks with Biomimetic Adaptive Internal Association Neurons
Haibo Shen, Yihao Luo, Xiang Cao +3
As the third generation of neural networks, spiking neural networks (SNNs) are dedicated to exploring more insightful neural mechanisms to achieve near-biological intelligence. Int…
cs.CV2022
Training Robust Spiking Neural Networks on Neuromorphic Data with Spatiotemporal Fragments
Haibo Shen, Yihao Luo, Xiang Cao +3
Neuromorphic vision sensors (event cameras) are inherently suitable for spiking neural networks (SNNs) and provide novel neuromorphic vision data for this biomimetic model. Due to…