[1] |
SAWANT A A, BARI P H, CHAWAN P M. Software testing techniques and strategies[J]. International Journal of Engineering Research and Applications (IJERA), 2012, 2(3): 980-986.
|
[2] |
JAMIL M A, ARIF M, ABUBAKAR N S A, et al. Software testing techniques: A literature review[C]// 2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M). 2016:177-182.
|
[3] |
MAHADIK P, BHATTACHARYYA D, JIN KIM H. Techniques for automated test cases generation: A review[J]. International Journal of Software Engineering and Its Applications, 2016,10(12): 13-20.
|
[4] |
WANWARANG T, BORGES JR N P, BETTSCHEIDER L, et al. Testing APPs with real-world inputs[C]// Proceedings of the IEEE/ACM 1st International Conference on Automation of Software Test. 2020:1-10.
|
[5] |
DARAB M A D, CHANG C K. Black-box test data generation for GUI testing[C]// 2014 14th International Conference on Quality Software. 2014:133-138.
|
[6] |
Netease. Airtest[EB/OL]. [2020-11-18]. http://airtest.netease.com/.
|
[7] |
YEH T, CHANG T H, MILLER R C. Sikuli: Using GUI screenshots for search and automation[C]// Proceedings of the 22nd Annual ACM Symposium on User Interface Software and Technology. 2009:183-192.
|
[8] |
李航. 统计学习方法[M]. 北京:清华大学出版社, 2012:95-123.
|
[9] |
李章维,胡安顺,王晓飞. 基于视觉的目标检测方法综述[J]. 计算机工程与应用, 2020,56(8):1-9.
|
[10] |
KOTSIANTIS S B, ZAHARAKIS I, PINTELAS P. Supervised machine learning: A review of classification techniques[J]. Emerging Artificial Intelligence Applications in Computer Engineering, 2007,160:3-24.
|
[11] |
REDMON J, FARHADI A. Yolov3: An incremental improvement[J]. arXiv preprint arXiv:1804.02767, 2018.
|
[12] |
贺怀清,王进,惠康华,等. 基于YOLO的多尺度并行人脸检测算法[J]. 计算机工程与设计, 2020,41(9):2559-2565.
|
[13] |
王粉花,黄超,赵波,等. 基于YOLO算法的手势识别[J]. 北京理工大学学报, 2020,40(8):873-879.
|
[14] |
常亮,邓小明,周明全,等. 图像理解中的卷积神经网络[J]. 自动化学报, 2016,42(9):1300-1312.
|
[15] |
DENG L, YU D. Deep learning: Methods and applications[J]. Foundations and Trends in Signal Processing, 2014,7(3-4):197-387.
|
[16] |
BRUNETTI A, BUONGIORNO D, TROTTA G F, et al. Computer vision and deep learning techniques for pedestrian detection and tracking: A survey[J]. Neurocomputing, 2018,300:17-33.
|
[17] |
MINICHINO J, HOUSE J. OpenCV3计算机视觉[M]. 刘波,苗贝贝,史斌译. 北京:机械工业出版社, 2016:44-52.
|
[18] |
MATAS J, GALAMBOS C, KITTLER J. Robust detection of lines using the progressive probabilistic hough transform[J]. Computer Vision and Image Understanding, 2000,78(1):119-137.
|
[19] |
HASLER D, SUESSTRUNK S E. Measuring colorfulness in natural images[C]// Conference on Human Vision and Electronic Imaging VIII. 2003:87-95.
|
[20] |
夏天,杨学志,艾加秋. 基于GLCM-GM RF纹理特征和深度置信网络的SAR图像分类[J]. 合肥工业大学学报(自然科学版), 2020,43(4):480-486.
|
[21] |
Intel. OpenCV[EB/OL]. [2020-11-18]. https://opencv.org/.
|
[22] |
David Cournapeau. Sklearn[EB/OL]. [2020-11-18]. https://scikit-learn.org/.
|
[23] |
周志华. 机器学习[M]. 北京:清华大学出版社, 2016:30-33.
|