A comparative study of machine vision-based rail foreign object intrusion detection models-Reference-Cited by-同舟云学术

A comparative study of machine vision-based rail foreign object intrusion detection models

Published:2023-01-29 Issue: Volume: Page:
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Container-title:2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA)
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Author:

Cai Xinnan¹,Ding Xuewen¹

Affiliation:

1. Tianjin University of Technology and Education,Tianjin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10075685/10075655/10075769.pdf?arnumber=10075769

Reference8 articles.

1. Acquisition of localization confidence for accurate object detect detection [C];jiang;Proceedings of the European Conference on Computer Vision(ECCV),2018

2. Research on track foreign body intrusion detection algorithm based on deep learning [D];chunlei,2019

3. FCOS: Fully Convolutional One-Stage Object Detection

4. You Only Look Once: Unified, Real-Time Object Detection

5. Cascade R-CNN: Delving Into High Quality Object Detection

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