[1] [1] Saadna Y, Behloul A. An overview of traffic sign detection and classification methods[J]. International journal of multimedia information retrieval, 2017, 6(3): 193-210.

[6] [6] Hinton G E, Osindero S, Teh Y W. A fast learning algorithm for deep belief nets[J]. Neural computation, 2006, 18(7): 1527-1554.

[7] [7] Redmon J, Divvala S, Girshick R, et al. You only look once: Unified, real-time object detection[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 779-788.

[8] [8] Liu W, Anguelov D, Erhan D, et al. Ssd: Single shot multibox detector[C]//European conference on computer vision. Springer, Cham, 2016: 21-37.

[9] [9] Ross G, Jeff D, Trevor D, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2014: 580-587.

[11] [11] Zhou X, Wang D, Krhenbühl P. Objects as points[J]. arXiv preprint arXiv:1904.07850, 2019.

[12] [12] Wang C Y, Bochkovskiy A, Liao H Y M. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for realtime object detectors[J]. arXiv preprint arXiv: 2207.02696, 2022.

[13] [13] Wang C Y, Bochkovskiy A, Liao H Y M. Scaled-yolov4: Scaling cross stage partial network[C]//Proceedings of the IEEE/cvf conference on computer vision and pattern recognition. 2021: 13029-13038.

[14] [14] Zhang X, Zeng H, Guo S, et al. Efficient Long-Range Attention Network for Image Super-resolution[J]. arXiv preprint arXiv:2203.06697, 2022.

[15] [15] Ge Z, Liu S, Wang F, et al. Yolox: Exceeding yolo series in 2021[J]. arXiv preprint arXiv:2107.08430, 2021.

[16] [16] Ding X, Zhang X, Ma N, et al. Repvgg: Making vgg-style convnets great again[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021: 13733-13742.

[18] [18] Ren S, He K, Girshick R, et al. Faster r-cnn: Towards real-time object detection with region proposal networks[J]. Advances in neural information processing systems, 2015, 28:187-192.