StereoSpike: Depth Learning With a Spiking Neural Network

StereoSpike: Depth Learning With a Spiking Neural Network

Depth estimation is an important computer vision task, useful in particular for navigation in autonomous vehicles, or for object manipulation in robotics. Here, we propose to solve it using StereoSpike, an end-to-end neuromorphic approach, combining two event-based cameras and a Spiking Neural Netwo...

Full description

Bibliographic Details
Main Authors: Ulysse Rancon, Javier Cuadrado-Anibarro, Benoit R. Cottereau, Timothee Masquelier
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Computer vision
bio-inspired learning
deep neural architectures
neuromorphic computing
spiking neural networks
stereo depth regression
Online Access:https://ieeexplore.ieee.org/document/9969606/

Internet

https://ieeexplore.ieee.org/document/9969606/

Similar Items