Flower Classification and Recognition Based on Significance Test and Transfer Learning

• Published in: 2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) pp. 649 - 652
• Main Authors: Lv, Rongxin, Li, Zhongzhi, Zuo, Jiankai, Liu, Jing
• Format: Conference Proceeding
• Language: English
• Published: IEEE 15.01.2021
• Subjects: Convolutional neural networks; Data models; Deep Learning; Flower Recognition; Image recognition; Neural networks; Saliency detection; Significance Detection; Stochastic processes; Transfer learning

Aiming at the problem that traditional flower classification methods and ordinary convolutional neural networks are difficult to reduce the effect of flower background, the classification effect is not ideal. This paper designs a flower classification model that combines saliency detection and VGG-1...