Overcoming the reality gap: Studying synthetic image modalities for convolutional neural network training
| dc.contributor.author | Zhang, Shu | |
| dc.contributor.department | Department of Computer Science | |
| dc.contributor.majorProfessor | Rafael Radkowski | |
| dc.contributor.majorProfessor | Wei Le | |
| dc.date | 2019-09-22T12:08:06.000 | |
| dc.date.accessioned | 2020-06-30T01:34:27Z | |
| dc.date.available | 2020-06-30T01:34:27Z | |
| dc.date.copyright | Tue Jan 01 00:00:00 UTC 2019 | |
| dc.date.issued | 2019-01-01 | |
| dc.format.mimetype | ||
| dc.identifier | archive/lib.dr.iastate.edu/creativecomponents/362/ | |
| dc.identifier.articleid | 1388 | |
| dc.identifier.contextkey | 14996077 | |
| dc.identifier.doi | https://doi.org/10.31274/cc-20240624-1095 | |
| dc.identifier.s3bucket | isulib-bepress-aws-west | |
| dc.identifier.submissionpath | creativecomponents/362 | |
| dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/16914 | |
| dc.source.bitstream | archive/lib.dr.iastate.edu/creativecomponents/362/Shu_ZHANG_CSMS_Report_4.pdf|||Fri Jan 14 23:47:40 UTC 2022 | |
| dc.subject.disciplines | Artificial Intelligence and Robotics | |
| dc.subject.keywords | CNN | |
| dc.subject.keywords | object detection | |
| dc.subject.keywords | 6D Pose estimation | |
| dc.subject.keywords | reality gap | |
| dc.subject.keywords | domain adaptation | |
| dc.title | Overcoming the reality gap: Studying synthetic image modalities for convolutional neural network training | |
| dc.type | creative component | |
| dc.type.genre | creative component | |
| dspace.entity.type | Publication | |
| relation.isOrgUnitOfPublication | f7be4eb9-d1d0-4081-859b-b15cee251456 | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.level | creativecomponent |
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