Opto-Electronic Engineering, Volume. 51, Issue 7, 240126(2024)

Global pooling residual classification network guided by local attention

Wentao Jiang1, Rui Dong1、*, and Shengchong Zhang2
Author Affiliations
  • 1College of Software, Liaoning Technical University, Huludao, Liaoning 125105, China
  • 2Science and Technology on Electro-Optical Information Security Control Laboratory, Tianjin 300308, China
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    References(32)

    [1] Robbins H, Monro S. A stochastic approximation method[J]. Ann Math Statist, 22, 400-407(1951).

    [2] Yang H, Li J. Label contrastive learning for image classification[J]. Soft Comput, 27, 13477-13486(2023).

    [3] Lecun Y, Bottou L, Bengio Y et al. Gradient-based learning applied to document recognition[J]. Proc IEEE, 86, 2278-2324(1998).

    [4] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Commun ACM, 60, 84-90(2017).

    [5] Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[C](2015).

    [12] Jaderberg M, Simonyan K, Zisserman A et al. Spatial transformer networks[C], 2017-2025(2015).

    [15] Zhang F, Huang S X, Hua Q et al. Novel image classification model based on depth-wise convolution neural network and visual transformer[J]. Comput Sci, 51, 196-204(2024).

    [20] Zhang H Y, Cissé M, Dauphin Y N et al. mixup: beyond empirical risk minimization[C](2018).

    [21] Polyak B T. Some methods of speeding up the convergence of iteration methods[J]. USSR Comput Math Math Phys, 4, 1-17(1964).

    [23] Tan M X, Le Q V. EfficientNet: rethinking model scaling for convolutional neural networks[C], 6105-6114(2019).

    [24] Fu X, Shen Y T, Li H W et al. A semi-supervised encoder generative adversarial networks model for image classification[J]. Acta Autom Sin, 46, 531-539(2020).

    [25] Choromanski K M, Likhosherstov V, Dohan D et al. Rethinking attention with performers[C](2021).

    [26] Glorot X, Bordes A, Bengio Y. Deep sparse rectifier neural networks[C], 315-323(2011).

    [27] Wang F, Qiao R P. SPAM: spatially partitioned attention module in deep convolutional neural networks for image classification[J]. J Xi'an Jiaotong Univ, 57, 185-192(2023).

    [28] Yang M L, Zhang W S. Image classification algorithm based on classification activation map enhancement[J]. J Front Comput Sci Technol, 14, 149-158(2020).

    [29] Konstantinidis D, Papastratis I, Dimitropoulos K et al. Multi-manifold attention for vision transformers[J]. IEEE Access, 11, 123433-123444(2023).

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    Wentao Jiang, Rui Dong, Shengchong Zhang. Global pooling residual classification network guided by local attention[J]. Opto-Electronic Engineering, 2024, 51(7): 240126

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    Paper Information

    Category: Article

    Received: May. 28, 2024

    Accepted: Aug. 5, 2024

    Published Online: Nov. 12, 2024

    The Author Email: Rui Dong (董睿)

    DOI:10.12086/oee.2024.240126

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