Research on Classification of Wild Mushroom Based on Feature Fusion and Attention Mechanism

Author:

Li Xiangyang1,Guo Lei2,Yang Jundong1,Ge Fuhua1,Yu Pengfei1

Affiliation:

1. Yunnan University,School of Information,Kunming,China

2. Yunnan University,Information Technology Center,Kunming,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference20 articles.

1. Feature Pyramid Networks for Object Detection;tsung-yi;CoRR,2016

2. Feature pyramid net-works for object detection[C];lin;Proceedings of the IEEE conference on computer vision and pattern classification,2017

3. Deep residual learning for image classification [C];kaiming;Proceedings of IEEE Conference on Computer Vision and Pattern Classification,2016

4. Look closer to see better: Recurrent attention convolutional neural network for fine-grained image classification [C];fu;Proceedings of the IEEE conference on computer vision and pattern classification,2017

5. SGDR: Stochastic Gradient Descent with Restarts;ilya;CoRR,2016

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1. The Employment of AI and Machine Learning methods for Mushroom Images Classification using Sequential CNN Model;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

2. Applications of Machine Learning Techniques in the Classification of Mushrooms;2023 International Conference on IoT, Communication and Automation Technology (ICICAT);2023-06-23

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