Proceedings of the 31th International Conference on Computer Graphics and Vision. Volume 2 2021
DOI: 10.20948/graphicon-2021-3027-488-495
|View full text |Cite
|
Sign up to set email alerts
|

Rare Traffic Signs Recognition

Abstract: Recognition of road signs is an important part of the control systems of autonomous vehicles and driver assistance systems. Modern recognition methods based on neural networks require large well-labeled datasets. Marking up data is quite expensive, but it is even more difficult to mark up rare classes of objects. To solve this problem in this article, we use synthetic data. We improve the marking of the Russian traffic signs dataset (RTSD) in semi-automatic mode adding 9 thousand new road signs. We perform an … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 23 publications
(23 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?