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cs.CV2022★ 2 cited
Object Detection with Spiking Neural Networks on Automotive Event Data
Loïc Cordone, Benoît Miramond, Philippe Thierion
Automotive embedded algorithms have very high constraints in terms of latency, accuracy and power consumption. In this work, we propose to train spiking neural networks (SNNs) dire…
cs.CV2021
Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks
Loïc Cordone, Benoît Miramond, Sonia Ferrante
Convolutional neural networks (CNNs) are now the de facto solution for computer vision problems thanks to their impressive results and ease of learning. These networks are composed…