Image Classification Algorithm Based on Improved ShuffleNetV2
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Published:2023
Issue:04
Volume:11
Page:364-370
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ISSN:2332-6980
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Container-title:Instrumentation and Equipments
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language:
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Short-container-title:IaE
Publisher
Hans Publishers
Reference10 articles.
1. Improved ShuffleNetV2 for Garbage Image Classification 2. Liu, X., Wu, Z.Z., Wu, Z.J., Zou, L., Xu, L.X. and Wang, X.F. (2020) Lightweight Neural Network Based Garbage Image Classification Using a Deep Mutual Learning. Parallel Architectures, Algorithms and Programming, 1362, 212- 223. 3. Zhang, X., Zhou, X., Lin, M. and Sun, J. (2017) Shufflenet: An Extremely Efficient Convolutional Neural Network for Mobile Devices. Computer Vision and Pattern Recognition. 4. Gu, Y.Q. and Ge, B. (2021) Research on Lightweight Convolutional Neural Network in Garbage Classification. IOP Conference Series: Earth and Environmental Science, 781, Article ID: 032011. 5. 袁硕, 刘玉敏, 安志伟, 王硕昌, 魏海军. 基于改进ShuffleNetV2网络的岩石图像识别[J]. 吉林大学学报(信息科学版), 2023, 41(3): 450-458.
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