Arc Lab.'s Blog

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..

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 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 Net..