Work

AF-EIDD: an anchor-free, end-to-end obstacle image denoising detection network for rail transit

Year: 2024

Type: article

Source: Measurement Science and Technology

DOI: 10.1088/1361-6501/ada1e9

Authors: Mingchao Zhang, Deqiang He, Yuliang Qin, Zhenzhen Jin, Yanjun Chen, Sheng Shan

Institutions: Guangxi University, Guangxi Key Lab of Manufacturing System and Advanced Manufacturing Technology, China Railway Rolling Stock Corporation Zhuzhou Institute (China)

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: 高可靠大容量高速列车车联网架构及关键技术研究

OpenAlex ID: W4405624221

FWCI: 0.14

Cites: 41

Cited by: 1

Related to: 10