Laser & Optoelectronics Progress, Volume. 60, Issue 4, 0410004(2023)

Fine-Grained Classification of Wild Mushrooms Based on Feature Fusion and Attention Mechanism

Jiaxin Qian, Pengfei Yu*, Haiyan Li, and Hongsong Li
Author Affiliations
  • School of Information Science and Engineering, Yunnan University, Kunming 650500, Yunnan, China
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    References(28)

    [1] Yang Z L. On wild mushroom resources and their utilization in Yunnan Province, Southwest China[J]. Journal of Natural Resources, 17, 463-469(2002).

    [2] Wan R, Zhao J, Wan Q Q et al. Epidemiological characteristics and preventive measures of food poisoning in Yunnan Province from 2011 to 2019[J]. Journal of Food Safety & Quality, 12, 1620-1624(2021).

    [3] Wang P J. Discussion on classification and identification of poisonous mushroom toxins[J]. Science and Technology & Innovation, 61-62(2018).

    [4] Liu B, Zhang Z D, Zhang T T. Poisonous mushroom recognition based on Bayesian classification[J]. Software Guide, 14, 60-62(2015).

    [5] Xiao J W, Zhao C B, Li X J et al. Research on mushroom image classification based on deep learning[J]. Software Engineering, 23, 21-26(2020).

    [6] Shen R L, Huang Y L, Wen X et al. Mushroom classification based on Xception and ResNet50 models[J]. Journal of Heihe University, 11, 181-184(2020).

    [7] Torrey L, Shavlik J. Transfer learning[M]. Handbook of research on machine learning applications and trends: algorithms, methods, and techniques, 242-264(2010).

    [9] Fan S C, Yi X M, Li J et al. Toadstool image recognition based on deep residual network and transfer learning[J]. Chinese Journal of Sensors and Actuators, 33, 74-83(2020).

    [10] Chen D G, Yin P B et al. Research on identification of wild mushroom species based on improved Xception transfer learning[J]. Laser & Optoelectronics Progress, 58, 0810023(2021).

    [11] Zhang Z G, Yu P F, Li H Y et al. Fine-grained image recognition of wild mushroom based on multiscale feature guide[J]. Laser & Optoelectronics Progress, 59, 1210016(2022).

    [14] Krause J, Stark M, Jia D et al. 3D object representations for fine-grained categorization[C], 554-561(2013).

    [15] Lin T Y, Dollár P, Girshick R et al. Feature pyramid networks for object detection[C], 936-944(2017).

    [16] Li S Y, Liu Y H, Zhang R F. Fine-grained image classification based on multi-scale feature fusion[J]. Laser & Optoelectronics Progress, 57, 121002(2020).

    [17] Fu J L, Zheng H L, Mei T. Look closer to see better: recurrent attention convolutional neural network for fine-grained image recognition[C], 4476-4484(2017).

    [19] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).

    [20] Cao C S, Yuan J. Mask-wearing detection method based on YOLO-mask[J]. Laser & Optoelectronics Progress, 58, 0810019(2021).

    [21] Bao H L, Wan M, Liu Z X et al. Real-time semantic segmentation network based on regional self-attention[J]. Laser & Optoelectronics Progress, 58, 0810018(2021).

    [22] Chen Z H, Wu H B, Pei H D et al. Image super-resolution reconstruction method based on self-attention deep network[J]. Laser & Optoelectronics Progress, 58, 0410013(2021).

    [23] Xu K, Ba J, Kiros R et al. Show, attend and tell: neural image caption generation with visual attention[C], 37, 2048-2057(2015).

    [24] Wang M H, Wu Z X, Zhou Z G. Fine-grained identification research of crop pests and diseases based on improved CBAM via attention[J]. Transactions of the Chinese Society for Agricultural Machinery, 52, 239-247(2021).

    [26] Howard J, Gugger S. Fastai: a layered API for deep learning[J]. Information, 11, 108(2020).

    [27] Howard J, Gugger S[M]. Deep learning for coders with fastai and PyTorch(2020).

    [28] Selvaraju R R, Cogswell M, Das A et al. Grad-CAM: visual explanations from deep networks via gradient-based localization[C], 618-626(2017).

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    Jiaxin Qian, Pengfei Yu, Haiyan Li, Hongsong Li. Fine-Grained Classification of Wild Mushrooms Based on Feature Fusion and Attention Mechanism[J]. Laser & Optoelectronics Progress, 2023, 60(4): 0410004

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    Paper Information

    Category: Image Processing

    Received: Oct. 21, 2021

    Accepted: Dec. 21, 2021

    Published Online: Feb. 14, 2023

    The Author Email: Yu Pengfei (pfyu@ynu.edu.cn)

    DOI:10.3788/LOP212774

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