Title : The defect detection of 3D-printed ceramic curved surface parts with low contrast based on deep learning
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Affiliation of Author(s):机械工程学院
Title of Paper:The defect detection of 3D-printed ceramic curved surface parts with low contrast based on deep learning
Journal:Ceramics International
First Author:陈伟
Document Code:1598254610093686785
Volume:49
Issue:2
Page Number:2881-2893
Number of Words:4300
Translation or Not:no
Date of Publication:2022-01-01
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