Semi-supervised defect classification of steel surface based on multi-training and generative adversarial network
Clicks: 143
ID: 41173
2019
| Reference Key |
he2019semisupervisedoptics
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | He, Y. |
| Journal | optics and lasers in engineering |
| Year | 2019 |
| DOI | 10.1016/j.optlaseng.2019.06.020 |
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.