Human-Object Interaction Detection Data Augmentation Using Image Concatenation


KIPS Transactions on Software and Data Engineering, Vol. 12, No. 2, pp. 91-98, Feb. 2023
https://doi.org/10.3745/KTSDE.2023.12.2.91,   PDF Download:
Keywords: Human-object Interaction Detection, data augmentation, image processing, Object Detection
Abstract

Human-object interaction(HOI) detection requires both object detection and interaction recognition, and requires a large amount of data to learn a detection model. Current opened dataset is insufficient in scale for training model enough. In this paper, we propose an easy and effective data augmentation method called Simple Quattro Augmentation(SQA) and Random Quattro Augmentation(RQA) for human-object interaction detection. We show that our proposed method can be easily integrated into State-of-the-Art HOI detection models with HICO-DET dataset.


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Cite this article
[IEEE Style]
S. Lee and K. Lee, "Human-Object Interaction Detection Data Augmentation Using Image Concatenation," KIPS Transactions on Software and Data Engineering, vol. 12, no. 2, pp. 91-98, 2023. DOI: https://doi.org/10.3745/KTSDE.2023.12.2.91.

[ACM Style]
Sang-Baek Lee and Kyu-Chul Lee. 2023. Human-Object Interaction Detection Data Augmentation Using Image Concatenation. KIPS Transactions on Software and Data Engineering, 12, 2, (2023), 91-98. DOI: https://doi.org/10.3745/KTSDE.2023.12.2.91.