为零填充设计补偿算法,并将其应用于基于补丁的深度神经网络

Safi Ullah1,2, Seong-Ho Song1

  • 1Division of Software, Hallym University, Chuncheon, Gangwon-do, Republic of Korea.

PeerJ. Computer science
|September 24, 2024
PubMed
概括

对于零填充的新补偿算法通过纠正卷积输出中的错误来改善深卷积神经网络的性能. 这些方法增强了单图像超分辨率和肺CT图像细分任务.

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