Crop disease identification and interpretation method based on multimodal deep learning

Author:

Zhou Ji,Li Jiuxi,Wang Chunshan,Wu Huarui,Zhao Chunjiang,Teng Guifa

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference20 articles.

1. Devise: A deep visual-semantic embedding model;Frome;NIPS,2013

2. Evaluation of output embeddings for fine-grained image classification;Akata;Proceedings of the IEEE conference on computer vision and pattern recognition.,2015

3. Chattopadhay A, Sarkar A, Howlader P, et al. Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks[C]//2018 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2018: 839-847.

4. What do CNN neurons learn: Visualization & Clustering;Dai;arXiv preprint arXiv:2010.11725,2020

5. Visualizing higher-layer features of a deep network;Erhan;University of Montreal,2009

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