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Article

H 0 01239811
Detecting occluded Y-shaped fruit tree segments using automated iterative training with minimal labeling effort

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L

GRANLAND (K), NEWBURY (R), CHEN (Z), TING (D), CHEN (C)

AU/UNIV MONASH

COMPUTERS AND ELECTRONICS IN AGRICULTURE

2022

194

Artivle 106747 13 p.

10.1016/j.compag.2022.106747

biblio., graph., photo., anglais

"This paper describes an iterative training methodology for semantic segmentation, Automating-the-Loop. This aims to replicate the manual adjustments of the human-in-the-loop method with an automated process, hence, drastically reducing labeling effort."

https://www.sciencedirect.com/science/article/pii/S0168169922000643

mécanisation de la culture, architecture de l'arbre, branche, forme de l'arbre

ROBOTIQUE, VISION ARTIFICIELLE, AGRICULTURE DE PRECISION

08/02/2022

Z