Name
Abstract | ||
|---|---|---|
This paper focuses on using data augmentation to improve the performance of Single Shot Multibox Detector (SSD) in rainy weather conditions. Data augmentation is applied by generating synthetic rain on a set of clear images to expand the dataset for training. The experimental results show that the performance of SSD model improves by up to 16.82% when being trained on the proposed augmented synthetic dataset. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ICCE-Taiwan49838.2020.9258127 | 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan) |
Keywords | DocType | ISSN |
data augmentation,Single Shot Multibox Detector,rainy weather conditions,SSD model,improving SSD performance | Conference | 2575-8276 |
ISBN | Citations | PageRank |
978-1-7281-7400-6 | 0 | 0.34 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Quoc-Viet Hoang | 1 | 0 | 0.68 |
| Trung-Hieu Le | 2 | 0 | 0.34 |
| Shih-Chia Huang | 3 | 657 | 42.31 |