Plant Leaves Recognition Based on a Hierarchical One-Class Learning Scheme with Convolutional Auto-Encoder and Siamese Neural Network

Plant Leaves Recognition Based on a Hierarchical One-Class Learning Scheme with Convolutional Auto-Encoder and Siamese Neural Network

In this paper, we propose a novel method for plant leaves recognition by incorporating an unsupervised convolutional auto-encoder (CAE) and Siamese neural network in a unified framework by considering Siamese as an alternative to the conventional loss of CAE. Rather than the conventional exploitatio...

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Bibliographic Details
Main Authors: Lamis Hamrouni, Mohammed Lamine Kherfi, Oussama Aiadi, Abdellah Benbelghit
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Symmetry
Subjects:
plant leaves classification
hierarchical classification
Siamese neural network
convolutional auto-encoder
one class learning
Online Access:https://www.mdpi.com/2073-8994/13/9/1705

Internet

https://www.mdpi.com/2073-8994/13/9/1705

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