用于晶圆图分类的微型交互式偏移网络(MINIONs)

2021 IEEE International Test Conference (ITC) Pub Date : 2021-10-01 DOI:10.1109/ITC50571.2021.00027

Y. Zeng, Li-C. Wang, Chuanhe Jay Shan

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引用次数: 2

摘要

我们提出了一种新的方法，称为微型交互式偏移网络(或MINIONs)。我们以晶圆图分类为应用实例。小黄人通过专门设计的一次性学习方案进行训练。一组小黄人可以用来修补主模型。实验结果解释了小黄人可以帮助的潜在领域及其独特的好处。

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MINiature Interactive Offset Networks (MINIONs) for Wafer Map Classification

We present a novel approach called MINiature Interactive Offset Networks (or MINIONs). We use wafer map classification as an application example. A Minion is trained with a specially-designed one-shot learning scheme. A collection of Minions can be used to patch a master model. Experiment results are provided to explain the potential areas Minions can help and their unique benefits.

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来源期刊

2021 IEEE International Test Conference (ITC)

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