[3] X WU, Z WEI, Y HU et al. Traffic sign detection method using multi-color space fusion, 314-319(2020).
[4] J REDMON, S DIVVALA, R GIRSHICK et al. You only look once: unified, real-time object detection, 779-788(2016).
[5] W LIU, D ANGUELOY, D ERHAN et al. SSD: single shot multibox detector, 21-37(2016).
[6] R GIRSHICK, J DONAHUE, T DARRELL et al. Rich feature hierarchies for accurate object detection and semantic segmentation, 580-587(2014).
[7] A S PRAKASH, D VIGNESHWARAN, R S AYYALU et al. Traffic sign recognition using deeplearning for autonomous driverless vehicles, 1569-1572(2021).
[8] Z HE, Z XIAO, Z YAN. Traffic sign recognition based on convolutional neural network model, 155-158(2020).
[9] Q ZHANG, Y SHEN, Z YI. Video-based traffic sign detection and recognition. SPIE, 11321, 284-291(2019).
[10] Xiru WU, Taotao QIU, Yaonan WANG. Fast multi-object detection and segmentation of traffic scene based on improved mask R-CNN. Chinese Journal of Scientific Instrument, 42, 242-249(2021).
[12] N CARION, F MASSA, G SYNNAEVE et al. End-to-end object detection with transformers, 213-229(2020).
[14] D MENG, X CHEN, Z FAN et al. Conditional DETR for fast training convergence, 3651-3660(2021).
[18] M TAN, R PANG, Q V LE. Efficientdet: scalable and efficient object detection, 10781-10790(2020).
[20] X GLOROT, A BORDES, Y BENGIO. Deep sparse rectifier neural networks. Journal of Machine Learning Research, 15, 315-323(2011).