티스토리 뷰
[2019][***]Traffic sign detection and recognition based on pyramidal convolutional networks
Arc Lab. 2019. 8. 1. 14:171. 인용 논문
Traffic-sign detection and classification in the wild
Zhe Zhu, Dun Liang, Songhai Zhang, Xiaolei Huang, Baoli Li, Shimin Hu;
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 2110-2118
2. 인용 부분
아래의 논문과 동일. GTSDB 데이터셋에 대해 추가로 실험. Focal Loss를 통한 큰 성능 향상.
https://arclab.tistory.com/277?category=759685
[***]Small Object Detection Using Deep Feature Pyramid Networks
1. 인용 논문 Traffic-sign detection and classification in the wild Zhe Zhu, Dun Liang, Songhai Zhang, Xiaolei Huang, Baoli Li, Shimin Hu; The IEEE Conference on Computer Vision and Pattern Recogniti..
arclab.tistory.com
- Page 7
Traffic sign detection and recognition based on pyramidal convolutional networks Different from the other two methods which use CE loss, we employ focal loss to train our network. Through the experiment, we find that this modification makes a difference significantly, improving the precision about 5%.
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