Conference paper Open Access
Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles
Kamilaris Andreas;
van den Brink Corjan;
Karatsiolis Savvas
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| All versions | This version | |
|---|---|---|
| Views | 99 | 99 |
| Downloads | 46 | 46 |
| Data volume | 59.7 MB | 59.7 MB |
| Unique views | 88 | 88 |
| Unique downloads | 43 | 43 |
Indexed in
- Publication date:
- October 30, 2019
- DOI:
-
- Keyword(s):
- UAV Deep Learning Generative Data Aerial Imagery
- Published in:
- Computer Analysis of Images and Patterns. CAIP 2019. Communications in Computer and Information Science, vol 1089, Springer International Publishing, Cham, pp. 81-90.
- Grants:
-
European Commission:
- RISE - Research Center on Interactive Media, Smart System and Emerging Technologies (739578)
- Communities:
- License (for files):
- Creative Commons Attribution Non Commercial No Derivatives 4.0 International