[1] 刘晓慧, 叶西宁. 肤色检测和Hu矩在安全帽识别中的应用[J]. 华东理工大学学报 (自然科学版), 2014, 40(3): 365-370.
LIU X H, YE X N. Skin color detection and Hu moments in helmet recognition research[J]. Journal of East China University of Science and Technology (Natural Science Edition), 2014, 40(3): 365-370.
[2] HAO W A, JZA B. An intelligent vision-based approach for helmet identification for work safety-ScienceDirect[J]. Computers in Industry, 2018, 100: 267-277.
[3] 宋晓凤, 吴云军, 刘冰冰, 等. 改进YOLOv5s算法的安全帽佩戴检测[J]. 计算机工程与应用, 2023, 59(2): 194-201.
SONG X F, WU Y J, LIU B B, et al. Improved YOLOv5s algorithm for helmet wearing detection[J]. Computer Engineering and Applications, 2023, 59(2): 194-201.
[4] FU D S, GAO L, HU T, et al. Research on safety helmet detection algorithm of power workers based on improved YOLOv5[J]. Journal of Physics (Conference Series), 2022, 2171: 012006.
[5] 谢国波, 唐晶晶, 林志毅, 等. 复杂场景下的改进YOLOv4安全帽检测算法[J]. 激光与光电子学进展, 2023, 60(12): 129-137.
XIE G B, TANG J J, LIN Z Y, et al. Improved YOLOv4 helmet detection algorithm under complex scenarios[J]. Laser & Optoelectronics Progress, 2023, 60(12): 129-137.
[6] YOHANANDAN S, SONG A, DYER A G, et al. Saliency preservation in low-resolution grayscale images[C]//European Conference on Computer Vision. Cham: Springer, 2018.
[7] 刘明康, 王宏民, 李琦, 等. 增强型灰度图像空间实现虹膜活体检测[J]. 中国图象图形学报, 2020, 25(7): 1421-1435.
LIU M K, WANG H M, LI Q, et al. Enhanced gray-level image space for iris liveness detection[J]. Journal of Image and Graphics, 2020, 25(7): 1421-1435.
[8] 刘金花. 基于卷积神经网络的模糊图像微小目标检测方法[J]. 信息记录材料, 2022, 23(6): 243-245.
LIU J H. A convolutional neural network-based method for detecting tiny targets in fuzzy images[J]. Information Recording Materials, 2022, 23(6): 243-245.
[9] TIAN Z, SHEN C, CHEN H, et al. FCOS: fully convolutional one-stage object detection[C]//Proceedings of the IEEE International Conference on Computer Vision, 2019: 9627-9636.
[10] GE Z, LIU S, WANG F, et al. YOLOX: exceeding YOLO series in 2021[J]. arXiv:2107.08430, 2021.
[11] 刘向增, 徐雪灵, 刘如意, 等. 面向图像匹配的局部特征提取研究进展[J]. 计算机技术与发展, 2022, 32(2): 1-13.
LIU X Z, XU X L, LIU R Y, et al. Research progress of local feature extraction for image matching[J]. Computer Technology and Development, 2022, 32(2): 1-13.
[12] SZEGEDY C, LIU W, JIA Y Q, et al. Going deeper with convolutions[C]//2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
[13] EVERINGHAM M, VAN GOOL L, WILLIAMS C K, et al. The pascal visual object classes (VOC) challenge[J]. International Journal of Computer Vision, 2010: 303-338.
[14] HU J, SHEN L, SUN G, et al. Squeeze-and-excitation networks[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018.
[15] LIN M, CHEN Q, YAN S C. Network in network[J]. IEEE Transactions on Information Theory, 1999, 45(2): 399-406.
[16] REZATOFIGHI H, TSOI N, GWAK J, et al. Generalized intersection over union: a metric and a loss for bounding box regression[C]//2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019: 658-666.
[17] GEVORGYAN Z. SIoU loss: more powerful learning for bounding box regression[J]. Computer Vision and Pattern Recognition, 2020, 30(8): 1742-1754. |