Data-Centric Learning Method for Synthetic Data Augmentation and Object Detection

Data-Centric Learning Method for Synthetic Data Augmentation and Object Detection

This paper proposes a deep learning framework for decreasing large-scale domain shift problems in object detection using domain adaptation techniques. We have approached data-centric domain adaptation with Image-to-Image translation models for this problem. It is one of the methodologies that change...

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Bibliographic Details
Main Authors: Yeseong Park, Hyeongbok Kim, Yoon Jung Park, Changsin Lee, Jinsuk Lee
Format: Article
Language:English
Published: Politeknik Negeri Padang 2022-05-01
Series:JOIV: International Journal on Informatics Visualization
Subjects:
domain adaptation
object detection
image-to-image translation
gan.
Online Access:https://joiv.org/index.php/joiv/article/view/939

Internet

https://joiv.org/index.php/joiv/article/view/939

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