Deep Ensembles for Semantic Segmentation on Road Detection
| dc.contributor.author | Uzun, Deniz | |
| dc.contributor.author | Yi, Dewei | |
| dc.contributor.editor | Yang, Chenguang | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Machine Learning | en |
| dc.date.accessioned | 2022-09-03T23:12:44Z | |
| dc.date.available | 2022-09-03T23:12:44Z | |
| dc.date.embargoedUntil | 2022-09-04 | |
| dc.date.issued | 2021-11-15 | |
| dc.format.extent | 6 | |
| dc.format.extent | 330474 | |
| dc.identifier | 195876387 | |
| dc.identifier | a62d9d09-cf92-4d35-94fa-186a9ad28525 | |
| dc.identifier | 85123191441 | |
| dc.identifier | 85123191441 | |
| dc.identifier.citation | Uzun, D & Yi, D 2021, Deep Ensembles for Semantic Segmentation on Road Detection. in C Yang (ed.), Proceedings of the 26th International Conference on Automation & Computing : System Intelligence through Automation and Computing, ICAC 2021. International Conference on Automation and Computing (ICAC), IEEE Explore, 26th International Conference on Automation and Computing, ICAC 2021, Portsmouth, United Kingdom, 2/09/21. https://doi.org/10.23919/ICAC50006.2021.9594247 | en |
| dc.identifier.citation | conference | en |
| dc.identifier.doi | 10.23919/ICAC50006.2021.9594247 | |
| dc.identifier.isbn | 9781860435577 | |
| dc.identifier.other | ORCID: /0000-0003-1702-9136/work/108709912 | |
| dc.identifier.uri | https://hdl.handle.net/2164/19131 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85123191441&partnerID=8YFLogxK | en |
| dc.language.iso | eng | |
| dc.publisher | IEEE Explore | |
| dc.relation.ispartof | Proceedings of the 26th International Conference on Automation & Computing | en |
| dc.relation.ispartofseries | International Conference on Automation and Computing (ICAC) | en |
| dc.subject | segmentation | en |
| dc.subject | focal loss | en |
| dc.subject | transfer learning | en |
| dc.subject | ensemble scheme | en |
| dc.subject | data augmentation | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject | Artificial Intelligence | en |
| dc.subject | Computer Science Applications | en |
| dc.subject | Information Systems | en |
| dc.subject | Information Systems and Management | en |
| dc.subject | Control and Optimization | en |
| dc.subject.lcc | QA75 | en |
| dc.title | Deep Ensembles for Semantic Segmentation on Road Detection | en |
| dc.type | Conference item | en |
Files
Original bundle
1 - 1 of 1
- Name:
- Uzun_etal_IEEE_Deep_Ensembles_For_AAM.pdf
- Size:
- 322.73 KB
- Format:
- Adobe Portable Document Format
