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pro vyhledávání: '"Thierion, Philippe"'
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) directly on data coming from event cameras to design fast and efficient au
Externí odkaz:
http://arxiv.org/abs/2205.04339
