[1] |
HU J L, LIN X B, LI C H, et al. Protective clothing detection of substation workers using S-HOG+C operator[C]// 2018 International Conference on Power System Technology. New York: IEEE Press, 2019: 4181-4185.
|
[2] |
WANG X Y, NIU D, LUO P X, et al. A safety helmet and protective clothing detection method based on improved-yolo V3[C]// 2020 Chinese Automation Congress. New York: IEEE Press, 2021: 5437-5441.
|
[3] |
陈双, 何利力. 基于Faster R-CNN的服装目标检测改进方法[J]. 软件导刊, 2020, 19(4): 42-45.
|
|
CHEN S, HE L L. Improved method for garment target detection based on faster R-CNN[J]. Software Guide, 2020, 19(4): 42-45. (in Chinese)
|
[4] |
DE SOUZA INÁCIO A, LOPES H S. EPYNET: efficient pyramidal network for clothing segmentation[J]. IEEE Access, 2020, 8: 187882-187892.
DOI
URL
|
[5] |
LEE C H, LIN C W. A two-phase fashion apparel detection method based on YOLOv4[J]. Applied Sciences, 2021, 11(9): 3782.
DOI
URL
|
[6] |
WANG Z J, WU Y M, YANG L C, et al. Fast personal protective equipment detection for real construction sites using deep learning approaches[J]. Sensors: Basel, Switzerland, 2021, 21(10): 3478.
|
[7] |
KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 2017, 60(6): 84-90.
DOI
URL
|
[8] |
SAUDI M M, HAKIM A, AHMAD A, et al. Image detection model for construction worker safety conditions using faster R-CNN[J]. International Journal of Advanced Computer Science and Applications, 2020, 11(6): 246.
|
[9] |
HUMPHREY E J, BELLO J P. Rethinking automatic chord recognition with convolutional neural networks[C]// The 11th International Conference on Machine Learning and Applications. New York: IEEE Press, 2013: 357-362.
|
[10] |
HE K M, ZHANG X Y, REN S Q, et al. Deep residual learning for image recognition[C]// The IEEE Conference on Computer Vision and Pattern Recognition. New York: IEEE Press, 2016: 770-778.
|
[11] |
MA N N, ZHANG X Y, ZHENG H T, et al. ShuffleNet V2: practical guidelines for efficient CNN architecture design[C]// Computer Vision - ECCV 2018:15th European Conference. New York: ACM, 2018: 122-138.
|
[12] |
HOWARD A, SANDLER M, CHEN B, et al. Searching for MobileNetV3[C]// 2019 IEEE/CVF International Conference on Computer Vision. New York: IEEE Press, 2020: 1314-1324.
|
[13] |
ZHONG Z, ZHENG L, KANG G L, et al. Random erasing data augmentation[C]// The AAAI Conference on Artificial Intelligence. Palo Alto: AAAI Press, 2017: 1-11.
|