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Apr, 2019
一种能耗和 GPU 计算高效的实时物体检测主干网络
An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection
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Youngwan Lee, Joong-won Hwang, Sangrok Lee, Yuseok Bae, Jongyoul Park
TL;DR
本文提出了一种名为VoVNet的新的神经网络结构,用于目标检测任务,相对于DenseNet和ResNet实现更好的速度和能量效率,该结构采用一次聚合技术,有效减少了内存访问成本和计算开销,性能得到了验证。
Abstract
As
densenet
conserves intermediate features with diverse receptive fields by aggregating them with dense connection, it shows good performance on the
object detection
task. Although feature reuse enables
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