A biological image classification method based on improved CNN

Author:

Qin Jiaohua,Pan Wenyan,Xiang Xuyu,Tan Yun,Hou Guimin

Funder

National Natural Science Foundation of China

Key Research and Development Plan of Hunan Province

Science Research Projects of Hunan Provincial Education Department

Degree & Postgraduate Education Reform Project of Hunan Province

Postgraduate Excellent Teaching Team Project of Hunan Province

Postgraduate Education and Teaching Reform Project of Central South University of Forestry & Technology

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modelling,Modelling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference46 articles.

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3. Xception: deep learning with depthwise separable convolutions;Chollet,2017

4. Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories. CVPR 2004;Fei-Fei,2004

5. Caltech-256 Object Category Dataset;Griffin,2007

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