Exploring the Effects of Class-Specific Augmentation and Class Coalescence on Deep Neural Network Performance Using a Novel Road Feature Dataset
In: IEEE Applied Imagery Pattern Recognition Workshop (AIPR); (2018-10-01) S. 1-7
Konferenz
Zugriff:
Titel: |
Exploring the Effects of Class-Specific Augmentation and Class Coalescence on Deep Neural Network Performance Using a Novel Road Feature Dataset
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Autor/in / Beteiligte Person: | Nivin, Tyler W. ; Scott, Grant J. ; Hurt, James A. ; Chastain, Raymond L. ; Davis, Curt H. |
Quelle: | IEEE Applied Imagery Pattern Recognition Workshop (AIPR); (2018-10-01) S. 1-7 |
Veröffentlichung: | 2018 |
Medientyp: | Konferenz |
ISBN: | 978-1-5386-9306-3 (print) |
ISSN: | 2332-5615 (print) |
DOI: | 10.1109/AIPR.2018.8707406 |
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