[5] [5] DALAL N, TRIGGS B. Histograms of oriented gradients for human detection[C]//2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), June 20-25, 2005, San Diego, CA, USA. New York: IEEE, 2005:886-893.

[6] [6] FELZENSZWALB P F, GIRSHICK R B, MCALLESTER D, et al. Object detection with discriminatively trained part-based models[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 32(9): 1627-1645.

[8] [8] GIRSHICK R, DONAHUE J, DARRELL T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]//IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 2014:580-587.

[9] [9] UIJLINGS J R R, VAN DE SANDE K E A, GEVERS T, et al. Selective search for object recognition[J]. International Journal of Computer Vision, 2013, 104:154-171.

[10] [10] GIRSHICK R. Fast R-CNN[C]//2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 2015:1440-1448.

[11] [11] CORTES C, VAPNIK V. Support-vector networks[J]. Machine Learning, 1995, 20:273-297.

[12] [12] REN S Q, HE K M, GIRSHICK R, et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(6): 1137-1149.

[13] [13] REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: Unified, real-time object detection[C]//IEEE Conference on Computer Vision and Pattern Recognition, June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 2016:779-788.

[14] [14] REDMON J, FARHADI A. YOLO9000: better, faster, stronger[C]//IEEE Conference on Computer Vision and Pattern Recognition, July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 2017: 7263-7271.

[16] [16] LIU W, ANGUELOV D, ERHAN D, et al. SSD: Single shot multibox detector[C]//Computer Vision——ECCV 2016:14th European Conference, Proceedings, Part I, October 11-14, 2016, Amsterdam, The Netherlands. Cham: Springer International Publishing, 2016:21-37.

[17] [17] FU C Y, LIU W, RANGA A, et al DSSD: Deconvolutional single shot detector[EB/OL].(2017-01-23)[2023-02-17]. https://arxiv.org/abs/1701.06659.

[18] [18] LI Z, YANG L, ZHOU F. FSSD: feature fusion single shot multibox detector[EB/OL].(2024-02-23)[2023-02-17]. https://arxiv.org/abs/1712.00960.

[25] [25] JIA Z, SU X, MA G, et al. Crack identification for marine engineering equipment based on improved SSD and YOLOv5[J]. Ocean Engineering, 2023, 268:113534.

[27] [27] HE J, WANG X, SONG Y, et al. A multiscale intrusion detection system based on pyramid depthwise separable convolution neural network[J]. Neurocomputing, 2023, 530:48-59.

[28] [28] WANG Z, GUO J, ZHANG S. Lightweight convolution neural network based on multi-scale parallel fusion for weed identification[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2022, 36(7): 2250028.