[업데이트 2019.08.08 12:00] 1. 로컬 .git 디렉토리 삭제 2. git 초기화 및 파일 추가/커밋 cd my_git_folder git init git add * git commit -m "Initial commit" 3. Git remote 추가 및 강제 업로드 git remote add origin https://test@bitbucket.org/ai/test-pytorch git push --force --set-upstream origin master * https://stackoverflow.com/questions/2006172/how-to-reset-a-remote-git-repository-to-remove-all-commits
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. 년도별 TT100K 데이터셋 사용한 논문들(구글 스칼라 검색) 2019(9건) -Traffic sign detection and recognition based on pyramidal convolutional networks -Variational Prototyping-Encoder: One-Shot L..
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 - Page 1 • Experiments on the German Traffic Sign Detection Benchmark (GTSDB) [9] and the Tsinghua-Tencent 100K (TT-100K) data set [10] show that the proposed appro..
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 4.1. Architectural design strategies Our overarching purpose is to build a CNN model with few model pa- rameters but a competitive detection accuracy. To this end, ..
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 - Page 1~2 In 2016, Zhu et al. [16] proposed the Tsinghua-Tencent 100K dataset, the largest and most challenging traffic sign dataset. The Tsinghua-Tencent 100K dat..
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
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 5 For traffic sign classification, the GTSRB [27] and TT100K [32] datasets are used. For the GTSRB→TT100k scenario, we train the model on GTSRB and report th..
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