Work

SqueezeMap: Fast Pedestrian Detection on a Low-Power Automotive Processor Using Efficient Convolutional Neural Networks

Year: 2017

Type: conference-paper

Source: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

DOI: 10.1109/cvprw.2017.62

Authors: Rytis Verbickas, Robert Laganiere, Daniel Laroche, Changyun Zhu, Xiaoyin Xu, Ali Ors

Institution: University of Ottawa

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: closed

OpenAlex ID: W2737236189

FWCI: 0.8

Cites: 18

Cited by: 14

Related to: 10