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論文閱讀筆記《Unsupervised fabric defect detection based on a deep convolutional GAN》
時間 2021-05-15
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論文閱讀筆記
# 缺陷檢測
深度學習
缺陷檢測
GAN
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核心思想 本文提出一種基於DCGAN的無監督紡織物缺陷檢測算法,本文還是延續了利用DCGAN根據缺陷圖像重構無缺陷的圖像樣本,然後再尋找重構圖像和缺陷圖像之間的差別,差別超過閾值的判定爲缺陷像素,但在實現的細節上還是有很多的創新,本文的訓練和測試流程如下圖所示 圖(a)展示了訓練過程,首先是對DCGAN網絡進行訓練,生成器 G G G輸入的是一維的噪聲向量,輸出的是32*32大小的圖塊 x
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