A modified YOLOv4 detection method for a vision-based underwater garbage cleaning robot
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2100473.pdf
Reference60 articles.
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3. Bai JQ, Lian SG, Liu ZX, et al., 2018. Deep learning based robot for automatically picking up garbage on the grass. IEEE Trans Consum Electron, 64(3):382–389. https://doi.org/10.1109/TCE.2018.2859629
4. Benjdira B, Khursheed T, Koubaa A, et al., 2019. Car detection using unmanned aerial vehicles: comparison between faster R-CNN and YOLOv3. Proc 1st Int Conf on Unmanned Vehicle Systems-Oman, p.1–6. https://doi.org/10.1109/UVS.2019.8658300
5. Bochkovskiy A, Wang CY, Liao HYM, 2020. YOLOv4: optimal speed and accuracy of object detection. https://arxiv.org/abs/2004.10934
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