HGO-CNN: HYBRID GENERIC-ORGAN CONVOLUTIONAL NEURAL NETWORK FOR MULTI-ORGAN PLANT CLASSIFICATION
(2017)
Presentation / Conference Contribution
Lee, S. H., Chang, Y. L., Chan, C. S., & Remagnino, P. (2017, December). HGO-CNN: HYBRID GENERIC-ORGAN CONVOLUTIONAL NEURAL NETWORK FOR MULTI-ORGAN PLANT CLASSIFICATION. Presented at 2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) Inst Elect \& Elect Engineers; Inst Elect \& Elect Engineers Signal Proc Soc
Outputs (2)
How deep learning extracts and learns leaf features for plant classification (2017)
Journal Article
Lee, S. H., Chan, C. S., Mayo, S. J., & Remagnino, P. (2017). How deep learning extracts and learns leaf features for plant classification. Pattern Recognition, 71, 1-13. https://doi.org/10.1016/j.patcog.2017.05.015