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Domain Generalization Research Based on Attention Mask
更新时间：2024-05-16
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    • Domain Generalization Research Based on Attention Mask

    • “在深度学习领域，针对未知领域模型性能下降问题，提出了一种基于注意力掩码的正则化方法，通过屏蔽权重高的特征提升模型泛化性能。实验显示，该方法在3个基准数据集上测试的精度较基线模型分别提升2.6%、2.0%、4.2%，证明了其在领域泛化数据集上的普适性。”
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    • Software Guide   Vol. 23, Issue 4, Pages: 14-20(2024)

    • DOI：10.11907/rjdk.231372    

      CLC： TP391.4

    • Published：15 April 2024，

      Received：12 April 2023，

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  • LU Jing,SHEN Yang,XU Hao,et al.Domain Generalization Research Based on Attention Mask[J].Software Guide,2024,23(04):14-20. DOI： 10.11907/rjdk.231372.

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