Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. (arXiv:2201.10943v1 [cs.CV])

Web: http://arxiv.org/abs/2201.10943

Neuromorphic vision sensor is a new bio-inspired imaging paradigm that
reports asynchronous, continuously per-pixel brightness changes called `events'
with high temporal resolution and high dynamic range. So far, the event-based
image reconstruction methods are based on artificial neural networks (ANN) or
hand-crafted spatiotemporal smoothing techniques. In this paper, we first
implement the image reconstruction work via fully spiking neural network (SNN)
architecture. As the bio-inspired neural networks, SNNs operating with
asynchronous binary spikes distributed over time, can potentially lead to …

arxiv cv event network neural neural network video