Transfer learning from indoor to outdoor in cultivar testing: application to russeting detection
Author:
Publisher
International Society for Horticultural Science (ISHS)
Subject
Horticulture
Link
https://www.actahort.org/members/showpdf?booknrarnr=1360_31
Reference11 articles.
1. Couasnet, G., El Abidine, M.Z., Laurens, F., Dutagaci, H., and Rousseau, D. (2021). Machine learning meets distinctness in variety testing. Paper presented at: IEEE/CVF International Conference on Computer Vision.
2. Garbouge, H., Rasti, P., and Rousseau, D. (2021). Deep learning-based detection of seedling development from indoor to outdoor. Paper presented at: International Conference on Systems, Signals and Image Processing.
3. A survey on contrastive self-supervised learning.;Jaiswal;Technologies (Basel),2020
4. The apple REFPOP-a reference population for genomics-assisted breeding in apple.;Jung;Hortic Res,2020
5. Training object detection and recognition CNN models using data augmentation.;Montserrat;Electronic Imaging,2017
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