Ken Shirakawa1, Yoshihiro Nagano1, Misato Tanaka1

  • 1Graduate School of Informatics, Kyoto University, Sakyo-ku, Kyoto, 606-8501, Japan; Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Seika, Soraku, Kyoto, 619-0288, Japan.

概括

最近用于视觉重建的大脑解码显示了概括性的局限性. 多样化的训练数据可以提高性能,但单独的文本特征不足以生成真实的图像,这凸显了需要仔细选择和评估数据集的必要性.

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