An Efficient Few-Shot Object Detection Method for Railway Intrusion via Fine-Tune Approach and Contrastive Learning-Reference-Cited by-同舟云学术

An Efficient Few-Shot Object Detection Method for Railway Intrusion via Fine-Tune Approach and Contrastive Learning

Author:

Ye Tao¹^ORCID,Zheng Zhikang¹^ORCID,Li Xiaosong²^ORCID,Zhao Zongyang¹^ORCID,Gao Xiao-Zhi³^ORCID

Affiliation:

1. School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing, China

2. School of Physics and Optoelectronic Engineering, Foshan University, Foshan, China

3. School of Computing, University of Eastern Finland, Kuopio, Finland

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference55 articles.

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