Data Augmentation for Improving SSD Performance in Rainy Weather Conditions

Quoc Viet Hoang; Trung Hieu Le; Shih Chia Huang

doi:10.1109/ICCE-Taiwan49838.2020.9258127

Data Augmentation for Improving SSD Performance in Rainy Weather Conditions

Quoc Viet Hoang
, Trung Hieu Le
, Shih Chia Huang

Department of Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

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.

Original language	English
Title of host publication	2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728173993
DOIs	https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258127
State	Published - 28 Sep 2020
Event	7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 - Taoyuan, Taiwan Duration: 28 Sep 2020 → 30 Sep 2020

Publication series

Name	2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

Conference

Conference	7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
Country/Territory	Taiwan
City	Taoyuan
Period	28/09/20 → 30/09/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Access to Document

10.1109/ICCE-Taiwan49838.2020.9258127

Cite this

Hoang, Q. V., Le, T. H., & Huang, S. C. (2020). Data Augmentation for Improving SSD Performance in Rainy Weather Conditions. In 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 Article 9258127 (2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258127

Hoang, Quoc Viet ; Le, Trung Hieu ; Huang, Shih Chia. / Data Augmentation for Improving SSD Performance in Rainy Weather Conditions. 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020).

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title = "Data Augmentation for Improving SSD Performance in Rainy Weather Conditions",

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.",

author = "Hoang, \{Quoc Viet\} and Le, \{Trung Hieu\} and Huang, \{Shih Chia\}",

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Hoang, QV, Le, TH & Huang, SC 2020, Data Augmentation for Improving SSD Performance in Rainy Weather Conditions. in 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020., 9258127, 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020, Institute of Electrical and Electronics Engineers Inc., 7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020, Taoyuan, Taiwan, 28/09/20. https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258127

Data Augmentation for Improving SSD Performance in Rainy Weather Conditions. / Hoang, Quoc Viet; Le, Trung Hieu; Huang, Shih Chia.
2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9258127 (2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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.

AB - 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.

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Hoang QV, Le TH, Huang SC. Data Augmentation for Improving SSD Performance in Rainy Weather Conditions. In 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9258127. (2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020). doi: 10.1109/ICCE-Taiwan49838.2020.9258127

Data Augmentation for Improving SSD Performance in Rainy Weather Conditions

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