Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions
- DOI
- 10.1007/978-3-030-16621-2_17
- Published
- 2019-03-29
- Container
- Advances in Intelligent Systems and Computing
- Publisher
- Springer International Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-16621-2_17,
title = {Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions},
author = {Vlad Taran and Yuri Gordienko and Alexandr Rokovyi and Oleg Alienin and Sergii Stirenko},
year = {2019},
journal = {Advances in Intelligent Systems and Computing},
doi = {10.1007/978-3-030-16621-2_17},
url = {https://doi.org/10.1007/978-3-030-16621-2_17}
}RIS
TY - JOUR TI - Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions AU - Vlad Taran AU - Yuri Gordienko AU - Alexandr Rokovyi AU - Oleg Alienin AU - Sergii Stirenko PY - 2019 JO - Advances in Intelligent Systems and Computing DO - 10.1007/978-3-030-16621-2_17 UR - https://doi.org/10.1007/978-3-030-16621-2_17 ER -
APA
Taran, V., Gordienko, Y., Rokovyi, A., Alienin, O., & Stirenko, S. (2019). Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions. Advances in Intelligent Systems and Computing. https://doi.org/10.1007/978-3-030-16621-2_17
Source records
- crossref · retrieved 2026-09-25T23:04:12.498Z