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A Surface Defect Detection Method Based on Positive Samples
時間 2020-12-23
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論文閱讀
# 缺陷檢測
缺陷檢測
GAN
autoencoder
無缺陷樣本
欄目
Microsoft Surface
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中心思想:基於正樣本而不需要缺陷樣本的表面缺陷檢測方法 motivation:(1)訓練樣本中缺乏缺陷樣本,獲取比較困難,而且缺陷的種類多種多樣,通過缺陷樣本進行監督的學習方法達不到要求的準確率 (2)人工標註非常的昂貴 方法:(1)人爲的在正樣本上隨機產生缺陷(2)用自編碼器對人造的缺陷樣本進行修復(3)利用GAN網絡區分源樣本和修復樣本 測試:(1)將輸入數據通過自編碼器進行修復(2)用LBP
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相關文章
1.
論文閱讀筆記《A Surface Defect Detection Method Based on Positive Samples》
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