• Infrared and Laser Engineering
  • Vol. 50, Issue 3, 20200459 (2021)
Yali Shen
Author Affiliations
  • School of Mathematics and Information Technology, Yuncheng University, Yuncheng 044000, China
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    DOI: 10.3788/IRLA20200459 Cite this Article
    Yali Shen. RGBT dual-modal Siamese tracking network with feature fusion[J]. Infrared and Laser Engineering, 2021, 50(3): 20200459 Copy Citation Text show less
    Visible image (up) and infrared image (down)
    Fig. 1. Visible image (up) and infrared image (down)
    Flowchart of the Siamese network
    Fig. 2. Flowchart of the Siamese network
    Visible image (up) and infrared image (down)
    Fig. 3. Visible image (up) and infrared image (down)
    Precision plot (a) and success plot (b)
    Fig. 4. Precision plot (a) and success plot (b)
    Success plot under 12 different attributes
    Fig. 5. Success plot under 12 different attributes
    Precision plot under 12 different attributes
    Fig. 6. Precision plot under 12 different attributes
    LayerKernel sizeChannel×MapStrideSizeChannel
    Input11×11255×2553
    Conv13×316×32123×12316
    Pool15×5261×6116
    Conv23×332×16157×5732
    Pool23×3155×5532
    Conv33×364×32153×5364
    Conv43×3128×64151×51128
    Conv53×332×128149×4932
    Table 1. [in Chinese]
    Yali Shen. RGBT dual-modal Siamese tracking network with feature fusion[J]. Infrared and Laser Engineering, 2021, 50(3): 20200459
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