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Frontiers in Plant Science
|
December 12, 2022
Transfer learning for versatile plant disease recognition with limited data
Mingle Xu, Sook Yoon, Yongchae Jeong, et al.
Frontiers in Plant Science
|
September 29, 2022
Flexible and high quality plant growth prediction with limited data
Yao Meng, Mingle Xu, Sook Yoon, et al.
Frontiers in Plant Science
|
February 24, 2022
Style-Consistent Image Translation: A Novel Data Augmentation Paradigm to Improve Plant Disease Recognition
Mingle Xu, Sook Yoon, Alvaro Fuentes, et al.
Frontiers in Plant Science
|
October 14, 2024
Plant disease recognition datasets in the age of deep learning: challenges and opportunities
Mingle Xu, Ji-Eun Park, Jaehwan Lee, et al.
Frontiers in Plant Science
|
April 21, 2023
Data-centric annotation analysis for plant disease detection: Strategy, consistency, and performance
Jiuqing Dong, Jaehwan Lee, Alvaro Fuentes, et al.
Frontiers in Plant Science
|
October 9, 2023
Embracing limited and imperfect training datasets: opportunities and challenges in plant disease recognition using deep learning
Mingle Xu, Hyongsuk Kim, Jucheng Yang, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 6) with videos related to
Sort By:
Page
of 1
Frontiers in Plant Science
|
December 12, 2022
Transfer learning for versatile plant disease recognition with limited data
Mingle Xu, Sook Yoon, Yongchae Jeong, et al.
Frontiers in Plant Science
|
September 29, 2022
Flexible and high quality plant growth prediction with limited data
Yao Meng, Mingle Xu, Sook Yoon, et al.
Frontiers in Plant Science
|
February 24, 2022
Style-Consistent Image Translation: A Novel Data Augmentation Paradigm to Improve Plant Disease Recognition
Mingle Xu, Sook Yoon, Alvaro Fuentes, et al.
Frontiers in Plant Science
|
October 14, 2024
Plant disease recognition datasets in the age of deep learning: challenges and opportunities
Mingle Xu, Ji-Eun Park, Jaehwan Lee, et al.
Frontiers in Plant Science
|
April 21, 2023
Data-centric annotation analysis for plant disease detection: Strategy, consistency, and performance
Jiuqing Dong, Jaehwan Lee, Alvaro Fuentes, et al.
Frontiers in Plant Science
|
October 9, 2023
Embracing limited and imperfect training datasets: opportunities and challenges in plant disease recognition using deep learning
Mingle Xu, Hyongsuk Kim, Jucheng Yang, et al.
Page
of 1