An Anchor Free Car Damage Detection Method-Reference-Cited by-同舟云学术

An Anchor Free Car Damage Detection Method

Published:2023-01-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 9th International Conference on Computing and Data Engineering
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Author:

Jin Haoran¹^ORCID,Wang Xinkuang²^ORCID,Wu Zhongcheng²^ORCID

Affiliation:

1. Institutes of Physical Science and Information Technology, Anhui University, China and High Magnetic Field Laboratory, Hefei Institutes of Physical Science, Chinese Academy of Sciences, China

2. High Magnetic Field Laboratory, Hefei Institutes of Physical Science, Chinese Academy of Sciences, China and Hefei Institutes of Physical Science, CAS, University of Science and Technology of China, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589845.3589848

Reference23 articles.

1. Bochkovskiy , Alexey , Chien-Yao Wang , and Hong-Yuan Mark Liao . "Yolov4 : Optimal speed and accuracy of object detection." arXiv preprint arXiv:2004.10934 ( 2020 ). Bochkovskiy, Alexey, Chien-Yao Wang, and Hong-Yuan Mark Liao. "Yolov4: Optimal speed and accuracy of object detection." arXiv preprint arXiv:2004.10934 (2020).

2. Ge , Zheng , " Yolox : Exceeding yolo series in 2021 ." arXiv preprint arXiv:2107.08430 (2021). Ge, Zheng, "Yolox: Exceeding yolo series in 2021." arXiv preprint arXiv:2107.08430 (2021).

3. Girshick , Ross . "Fast r-cnn." Proceedings of the IEEE international conference on computer vision. 2015 . Girshick, Ross. "Fast r-cnn." Proceedings of the IEEE international conference on computer vision. 2015.

4. Girshick Ross "Rich feature hierarchies for accurate object detection and semantic segmentation." Proceedings of the IEEE conference on computer vision and pattern recognition. 2014. Girshick Ross "Rich feature hierarchies for accurate object detection and semantic segmentation." Proceedings of the IEEE conference on computer vision and pattern recognition. 2014.

5. Glenn jocher yolov5.https://github.com/ultralytics/yolov5 2021. Glenn jocher yolov5.https://github.com/ultralytics/yolov5 2021.

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