RetinaNet Object Detector based on Analog-to-Spiking Neural Network Conversion

Code

• github.com/joaromi/Spiking-RetinaNet
  OfficialIn papertf★ 8

Abstract

The paper proposes a method to convert a deep learning object detector into an equivalent spiking neural network. The aim is to provide a conversion framework that is not constrained to shallow network structures and classification problems as in state-of-the-art conversion libraries. The results show that models of higher complexity, such as the RetinaNet object detector, can be converted with limited loss in performance.

Tasks

Reproductions