• Optical Instruments
  • Vol. 46, Issue 6, 55 (2024)
Chen LING, Rongfu ZHANG*, Ziye YANG, Guyu GAO, and Fuqiang ZHAO
Author Affiliations
  • School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • show less
    DOI: 10.3969/j.issn.1005-5630.202312050131 Cite this Article
    Chen LING, Rongfu ZHANG, Ziye YANG, Guyu GAO, Fuqiang ZHAO. Fine-grained image classification algorithm combining saliency and non-local module[J]. Optical Instruments, 2024, 46(6): 55 Copy Citation Text show less
    Crop template
    Fig. 1. Crop template
    Cropped areas and saliency points
    Fig. 2. Cropped areas and saliency points
    Proposed data augment method
    Fig. 3. Proposed data augment method
    Diagram of each structure of the network
    Fig. 4. Diagram of each structure of the network
    Proposed network model architecture
    Fig. 5. Proposed network model architecture
    Grad-CAM of the method
    Fig. 6. Grad-CAM of the method
    算法准确率/%
    Stanford CarsCUB-200-2011
    注:黑体表示最优结果
    Cutout92.1284.61
    Mixup92.4984.80
    RICAP92.2784.66
    Gridmask92.0784.27
    FMix92.1584.71
    SaliencyMix92.3085.04
    B-CNN90.6084.00
    RA-CNN92.5085.30
    MC-Loss91.3084.30
    CNL93.1085.80
    本方法94.0185.97
    Table 1. Classification accuracy on Stanford Cars and CUB-200-2011
    模块及方法准确率/%
    Stage2Stage3
    注:黑体表示最优结果
    ResNet-5083.8583.85
    +1非局部84.7084.83
    +2非局部84.9185.07
    +3非局部85.0585.21
    +增强85.1985.19
    +增强+1非局部85.3085.37
    +增强+2非局部85.4185.50
    +增强+3非局部85.4685.97
    Table 2. Experimental result of ablation on CUB-200-2011
    Chen LING, Rongfu ZHANG, Ziye YANG, Guyu GAO, Fuqiang ZHAO. Fine-grained image classification algorithm combining saliency and non-local module[J]. Optical Instruments, 2024, 46(6): 55
    Download Citation