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 Recognition (CVPR), 2016, pp. 2110-2118 2. 인용 부분 - Page 1-2 - Page 4 To verify the effectiveness of our framework, we perform experiments on Tsinghua-Tencent 100K traffic sign dataset [22].
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 Recognition (CVPR), 2016, pp. 2110-2118 2. 인용 부분
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 Recognition (CVPR), 2016, pp. 2110-2118 2. 인용 부분 https://arclab.tistory.com/172?category=679057 - 성능 측정 결과
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 Recognition (CVPR), 2016, pp. 2110-2118 2. 인용 부분 -Page 1,3 Thus, in this paper, a sign detection database [9] consisting of images collected under real world conditions is employed to evaluate the proposed approac..
- Total
- Today
- Yesterday
- Sea Bottom
- Physical Simulation
- ILoop Engine
- Jekyll and Hyde
- belief
- #ApacheZeppelin
- Ragdoll
- #REST API
- #ELK Stack
- English
- #ApacheSpark
- sentence test
- SSM
- Meow
- project
- Game Engine
- ate
- Worry
- Mask R-CNN
- GOD
- Badge
- some time ago
- Memorize
- aws #cloudfront
- 도커
- #TensorFlow
- 2D Game
- Library
- docker
- OST
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 |