Pavement crack identification and detection based on multi-task learning-Reference-Cited by-同舟云学术

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Pavement crack identification and detection based on multi-task learning

Published:2023-02-24 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)
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Author:

Chen Zhuo¹,Huang Xiaoke¹,Liu Siqi¹

Affiliation:

1. Southwest Petroleum University,Sichuan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10090478/10090479/10090657.pdf?arnumber=10090657

Reference12 articles.

1. Rapid identification of nighttime greenhouse tomato fruits based on improved YOLO[J];bin;Transactions of the Chinese Society for Agricultural Machinery,2022

2. Semantic segmentation model of multi-task medical image based on Unet[J];xudong;Electronic Devices,2022

3. Pavement crack identification method based on deep convolutional neural network fusion model[J];chaoyun;Journal of Chang'an University (Natural Science Edition),2020

4. Red lesion point segmentation of fundus image based on multitasking learning[J];song;Journal of Software,2021

5. C-UNet: Complement UNet for Remote Sensing Road Extraction

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1. Airport Runway Crack Detection to Classify and Densify Surface Crack Type;International Journal of Engineering and Advanced Technology;2024-02-28

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