@article{ART003109618},
author={Du-Hwan Hur and Dae-Hyeon Park and Deok-Woong Kim and Jae-Yong Baek and Jun-Hyeong Bak and Seung-Hwan Bae},
title={Object Detection Performance Analysis between On-GPU and On-Board Analysis for Military Domain Images},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={8},
pages={157-164},
doi={10.9708/jksci.2024.29.08.157}
TY - JOUR
AU - Du-Hwan Hur
AU - Dae-Hyeon Park
AU - Deok-Woong Kim
AU - Jae-Yong Baek
AU - Jun-Hyeong Bak
AU - Seung-Hwan Bae
TI - Object Detection Performance Analysis between On-GPU and On-Board Analysis for Military Domain Images
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 8
PB - The Korean Society Of Computer And Information
SP - 157
EP - 164
SN - 1598-849X
AB - In this paper, we propose a discussion that the feasibility of deploying a deep learning-based detector on the resource-limited board. Although many studies evaluate the detector on machines with high-performed GPUs, evaluation on the board with limited computation resources is still insufficient.
Therefore, in this work, we implement the deep-learning detectors and deploy them on the compact board by parsing and optimizing a detector. To figure out the performance of deep learning based detectors on limited resources, we monitor the performance of several detectors with different H/W resource. On COCO detection datasets, we compare and analyze the evaluation results of detection model in On-Board and the detection model in On-GPU in terms of several metrics with mAP, power consumption, and execution speed (FPS). To demonstrate the effect of applying our detector for the military area, we evaluate them on our dataset consisting of thermal images considering the flight battle scenarios. As a results, we investigate the strength of deep learning-based on-board detector, and show that deep learning-based vision models can contribute in the flight battle scenarios.
KW - Object detection;On-GPU Neural Detector;On-Board Neural Detector;Quantization;Military aircraft detection;Model Deployment
DO - 10.9708/jksci.2024.29.08.157
ER -
Du-Hwan Hur, Dae-Hyeon Park, Deok-Woong Kim, Jae-Yong Baek, Jun-Hyeong Bak and Seung-Hwan Bae. (2024). Object Detection Performance Analysis between On-GPU and On-Board Analysis for Military Domain Images. Journal of The Korea Society of Computer and Information, 29(8), 157-164.
Du-Hwan Hur, Dae-Hyeon Park, Deok-Woong Kim, Jae-Yong Baek, Jun-Hyeong Bak and Seung-Hwan Bae. 2024, "Object Detection Performance Analysis between On-GPU and On-Board Analysis for Military Domain Images", Journal of The Korea Society of Computer and Information, vol.29, no.8 pp.157-164. Available from: doi:10.9708/jksci.2024.29.08.157
Du-Hwan Hur, Dae-Hyeon Park, Deok-Woong Kim, Jae-Yong Baek, Jun-Hyeong Bak, Seung-Hwan Bae "Object Detection Performance Analysis between On-GPU and On-Board Analysis for Military Domain Images" Journal of The Korea Society of Computer and Information 29.8 pp.157-164 (2024) : 157.
Du-Hwan Hur, Dae-Hyeon Park, Deok-Woong Kim, Jae-Yong Baek, Jun-Hyeong Bak, Seung-Hwan Bae. Object Detection Performance Analysis between On-GPU and On-Board Analysis for Military Domain Images. 2024; 29(8), 157-164. Available from: doi:10.9708/jksci.2024.29.08.157
Du-Hwan Hur, Dae-Hyeon Park, Deok-Woong Kim, Jae-Yong Baek, Jun-Hyeong Bak and Seung-Hwan Bae. "Object Detection Performance Analysis between On-GPU and On-Board Analysis for Military Domain Images" Journal of The Korea Society of Computer and Information 29, no.8 (2024) : 157-164.doi: 10.9708/jksci.2024.29.08.157
Du-Hwan Hur; Dae-Hyeon Park; Deok-Woong Kim; Jae-Yong Baek; Jun-Hyeong Bak; Seung-Hwan Bae. Object Detection Performance Analysis between On-GPU and On-Board Analysis for Military Domain Images. Journal of The Korea Society of Computer and Information, 29(8), 157-164. doi: 10.9708/jksci.2024.29.08.157
Du-Hwan Hur; Dae-Hyeon Park; Deok-Woong Kim; Jae-Yong Baek; Jun-Hyeong Bak; Seung-Hwan Bae. Object Detection Performance Analysis between On-GPU and On-Board Analysis for Military Domain Images. Journal of The Korea Society of Computer and Information. 2024; 29(8) 157-164. doi: 10.9708/jksci.2024.29.08.157
Du-Hwan Hur, Dae-Hyeon Park, Deok-Woong Kim, Jae-Yong Baek, Jun-Hyeong Bak, Seung-Hwan Bae. Object Detection Performance Analysis between On-GPU and On-Board Analysis for Military Domain Images. 2024; 29(8), 157-164. Available from: doi:10.9708/jksci.2024.29.08.157
Du-Hwan Hur, Dae-Hyeon Park, Deok-Woong Kim, Jae-Yong Baek, Jun-Hyeong Bak and Seung-Hwan Bae. "Object Detection Performance Analysis between On-GPU and On-Board Analysis for Military Domain Images" Journal of The Korea Society of Computer and Information 29, no.8 (2024) : 157-164.doi: 10.9708/jksci.2024.29.08.157
