中国铸造2021，Vol.18Issue(4)：344-350,7.
Sand-bed defect recognition for 3D sand printing based on deep residual network
Sand-bed defect recognition for 3D sand printing based on deep residual network
Lan-xiu Wang 1Xuan-pu Dong 1Shu-ren Guo1
作者信息
- 1. State Key Laboratory of Materials Processing and Die & Mould Technology,School of Materials Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074,China
- 折叠
摘要
关键词
3D sand printing/sand-bed defects/deep residual network/sand-bed imagesKey words
3D sand printing/sand-bed defects/deep residual network/sand-bed images分类
矿业与冶金引用本文复制引用
Lan-xiu Wang,Xuan-pu Dong,Shu-ren Guo..Sand-bed defect recognition for 3D sand printing based on deep residual network[J].中国铸造,2021,18(4):344-350,7.
