在单一路径中将自我注意力剪成卷积层

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Updated: Jul 5, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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Published on: December 15, 2023

556

Haoyu He, Jianfei Cai, Jing Liu

    IEEE transactions on pattern analysis and machine intelligence
    |January 19, 2024
    PubMed
    概括

    单路视觉变压器修剪 (SPViT) 通过整合卷积和自我注意操作,有效地压缩视觉变压器 (ViTs). 这种方法可以降低计算成本,同时提高计算机视觉任务的性能.

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