BriefGPT.xyz
May, 2018
神经形态相机中的异步卷积网络物体检测
Event-based Convolutional Networks for Object Detection in Neuromorphic Cameras
HTML
PDF
Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci
TL;DR
本文提出了两种神经网络结构，分别是基于事件的相位叠加帧模型的YOLE和异步基于事件的完全卷积网络fcYOLE，用于在基于事件的摄像头上进行物体检测，通过不同的扩展公开数据集和人工合成数据集的评估，展示了该算法的性能。
Abstract
event-based cameras
are bioinspired sensors able to perceive changes in the scene at high frequency with a low power consumption. Becoming available only very recently, a limited amount of work addresses
object detectio
→