티스토리 뷰
Paper Review/TT100K
[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
- 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%.
댓글
공지사항
최근에 올라온 글
최근에 달린 댓글
- Total
- Today
- Yesterday
링크
TAG
- English
- Meow
- project
- Ragdoll
- Physical Simulation
- GOD
- ate
- #TensorFlow
- aws #cloudfront
- #ApacheZeppelin
- Game Engine
- belief
- sentence test
- #REST API
- Jekyll and Hyde
- Library
- #ELK Stack
- docker
- Memorize
- some time ago
- Badge
- OST
- 도커
- 2D Game
- SSM
- #ApacheSpark
- Sea Bottom
- Mask R-CNN
- Worry
- ILoop Engine
일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 |
8 | 9 | 10 | 11 | 12 | 13 | 14 |
15 | 16 | 17 | 18 | 19 | 20 | 21 |
22 | 23 | 24 | 25 | 26 | 27 | 28 |
29 | 30 | 31 |
글 보관함