Color Search: An efficient region proposal generation method-Reference-Cited by-同舟云学术

Color Search: An efficient region proposal generation method

Published:2022-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering
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Author:

Zheng Kaiyuan¹^ORCID,Zhang Zhiyong¹^ORCID,Qiu Changzhen¹^ORCID

Affiliation:

1. School of Electronics and Communication Engineering, Sun Yat-Sen University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3573428.3573460

Reference10 articles.

1. Uijlings Jasper RR "Selective search for object recognition." International journal of computer vision 104.2. 2013: 154-171. Uijlings Jasper RR "Selective search for object recognition." International journal of computer vision 104.2. 2013: 154-171.

2. Felzenszwalb , Pedro F . , and Daniel P . Huttenlocher . "Efficient graph-based image segmentation." International journal of computer vision 59.2 , 2004 : 167-181. Felzenszwalb, Pedro F., and Daniel P. Huttenlocher. "Efficient graph-based image segmentation." International journal of computer vision 59.2, 2004: 167-181.

3. Single color extraction and image query

4. Ren , Shaoqing , "Faster r-cnn : Towards real-time object detection with region proposal networks." Advances in neural information processing systems 28 , 2015 . Ren, Shaoqing, "Faster r-cnn: Towards real-time object detection with region proposal networks." Advances in neural information processing systems 28, 2015.

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