Survey of Deep Learning Based Object Detection-Reference-Cited by-同舟云学术

Survey of Deep Learning Based Object Detection

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Big Data Technologies - ICBDT2019
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Author:

Hechun Wang¹,Xiaohong Zheng¹

Affiliation:

1. National Laboratory for Parallel and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, China

Publisher

ACM Press

Reference14 articles.

1. Viola P, Jones M. Rapid object detection using a boosted cascade of simple features[C]//Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on. IEEE, 2001, 1:I--I.

2. Deng, Zhidong, and Lipu Zhou. "Detection and Recognition of Traffic Planar Objects Using Colorized Laser Scan and Perspective Distortion Rectification." IEEE Transactions on Intelligent Transportation Systems 19.5 (2018): 1485--1495.

3. Ren S, He K, Girshick R, et al. Faster r-cnn: Towards real-time object detection with region proposal networks[C]//Advances in neural information processing systems. 2015: 91--99.

4. He, Kaiming, et al. "Deep residual learning for image recognition." Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.

5. Vu, Khanh, Kien A. Hua, and Wallapak Tavanapong. "Image retrieval based on regions of interest." IEEE Transactions on knowledge and data engineering 15.4 (2003): 1045--1049.

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