Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization

arXiv:2205.07473v3 Announce Type: replace-cross
Abstract: Spiking neural networks (SNNs) operating with asynchronous discrete events show higher energy efficiency with sparse computation. A popular approach for implementing deep SNNs is ANN-SNN conversion combining both efficient training of ANNs and efficient inference of SNNs. However, the accuracy loss is usually non-negligible, especially under a few time steps, which restricts the applications of SNN on latency-sensitive edge devices greatly. In this paper, we first identify that such performance degradation stems from the misrepresentation …

ann arxiv conversion cs.lg cs.ne latency low low latency optimization snn type