FSRDD: An Efficient Few-Shot Detector for Rare City Road Damage Detection-Reference-Cited by-同舟云学术

FSRDD: An Efficient Few-Shot Detector for Rare City Road Damage Detection

Author:

Su Binyi¹^ORCID,Zhang Hua²^ORCID,Wu Zhaohui³^ORCID,Zhou Zhong¹^ORCID

Affiliation:

1. State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China

2. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

3. China Academy of Transportation Sciences, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

Basal Research Fund of Central Public Research Institute of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference37 articles.

3. Activation functions in deep learning: A comprehensive survey and benchmark;dubey;arXiv 2109 14545v2,2021

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献