論文閱讀筆記《A High-Efficiency Fully Convolutional Networks for Pixel-Wise Surface Defect Detection》
核心思想 本文提出一種基於全卷積神經網絡的表面缺陷檢測方法，整個算法分成三個任務階段：分割階段，檢測階段和修邊階段（Matting Stage）。分割階段就是用一個全卷積神經網絡（FCN）輸出缺陷區域的分割圖，對缺陷區域進行像素級別的分割。檢測階段是對分割結果進行更精細的修正，因爲有些區域被誤判爲缺陷，需要重新對其進行分類。修邊階段就是對預測結果的邊緣進行修整，使其反映出真實的缺陷區域。整個算
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相關文章
- 1. 論文閱讀筆記《Convolutional Neural Networks for Steel Surface Defect Detection from Photometric Stereo》
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