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    • Spatial attention-based multilayer fusion method for high-quality class activation map

    • The SAMLCAM method optimizes class activation maps through a multi-layer hybrid attention mechanism, enhancing the interpretability of deep convolutional neural networks in visual tasks.
    • Vol. 30, Issue 7, Pages: 2468-2483(2025)   

      Received:17 April 2024

      Revised:12 December 2024

      Published:16 July 2025

    • DOI: 10.11834/jig.240216     

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  • Zhang Jian, Zhang Yiran, Wang Zicong. 2025. Spatial attention-based multilayer fusion method for high-quality class activation map. Journal of Image and Graphics, 30(7):2468-2483 DOI: 10.11834/jig.240216.
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