MORETTI , Matthieu

Semantic segmentation methods have made impressiveprogress with deep learning. However, while achievinghigher and higher accuracy, state-of-the-art neural net-works overlook the complexity of architectures, which typ-ically feature dozens of millions of trainable parameters.Consequently, these networks requires high...

Spiking Neural Networks are well known for their hardware-friendliness, as their implementation enables important hardware resources and energy savings when compared to classical Neural Network accelerators. Those advantages are mostly due to their simple Integrate & Fire neuron model, and the event-based aspect of their computation. On the...