VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe Inspection-Reference-Cited by-同舟云学术

VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe Inspection

Published:2022-08-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Conference on Pattern Recognition (ICPR)
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Author:

Liu Yi¹,Zhang Xuan¹,Li Ying¹,Liang Guixin²,Jiang Yabing²,Qiu Lixia²,Tang Haiping²,Xie Fei²,Yao Wei³,Dai Yi²,Qiao Yu¹,Wang Yali¹

Affiliation:

1. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,ShenZhen Key Lab of Computer Vision and Pattern Recognition,China

2. Shenzhen Bwell Technology Co., Ltd,China

3. Shenzhen Longhua Drainage Co., Ltd,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

Reference34 articles.

1. Video swin transformer;liu,2021

2. Tresnet: High performance gpu-dedicated architecture;ridnik,2020

5. Can an image classifier suffice for action recognition?;fan;ICLRE,2022

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2. Unsupervised Stationary Flow Filter in CCTV Pipeline Inspection Videos;2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA);2024-02-01

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