DTL:参数和记忆效率高的解视觉学习

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Updated: Jan 16, 2026

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
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Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

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Minghao Fu, Ke Zhu, Zonghao Ding

    IEEE transactions on pattern analysis and machine intelligence
    |October 1, 2025
    PubMed
    概括

    分解转移学习 (DTL) 减少了大型模型的GPU内存和可训练参数. 这种参数效率转移学习方法可以提高下游任务的准确性,例如对象检测和语义细分.

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