YOLO（二）：Overview

YOLO（二）：Overview

2020/12/25

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https://pixabay.com/zh/photos/yolo-life-neon-letters-on-2817390/

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◎ Abstract

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◎ Introduction

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本論文要解決（它之前研究）的（哪些）問題（弱點）？ 

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# A Survey of Deep Learning-based Object Detection

說明：

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◎ Method

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解決方法？ 

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# YOLO。

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具體細節？

https://hemingwang.blogspot.com/2021/05/yoloillustrated.html

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◎ Result

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本論文成果。 

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◎ Discussion

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本論文與其他論文（成果或方法）的比較。 

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成果比較。 

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方法比較。 

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◎ Conclusion 

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◎ Future Work

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後續相關領域的研究。 

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後續延伸領域的研究。

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◎ References

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# Faster R-CNN。被引用 23747 次。

Ren, Shaoqing, et al. "Faster r-cnn: Towards real-time object detection with region proposal networks." Advances in neural information processing systems. 2015.

https://proceedings.neurips.cc/paper/2015/file/14bfa6bb14875e45bba028a21ed38046-Paper.pdf

# YOLO。被引用 12295 次。

Redmon, Joseph, et al. "You only look once: Unified, real-time object detection." Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.

https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Redmon_You_Only_Look_CVPR_2016_paper.pdf

# Mask R-CNN。被引用 8887 次。

He, Kaiming, et al. "Mask r-cnn." Proceedings of the IEEE international conference on computer vision. 2017.

https://openaccess.thecvf.com/content_ICCV_2017/papers/He_Mask_R-CNN_ICCV_2017_paper.pdf

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# A Survey of Deep Learning-based Object Detection

Jiao, Licheng, et al. "A survey of deep learning-based object detection." IEEE Access 7 (2019): 128837-128868.

https://arxiv.org/pdf/1907.09408.pdf

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