[6] [6] 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.

[8] [8] REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: unified, real-time object detection ［C］//2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas, NV, USA: IEEE, 2016: 779-788.

[9] [9] LIU W, ANGUELOV D, ERHAN D, et al. SSD: single shot multibox detector ［C］//14th European Conference on Computer Vision. Amsterdam, The Netherlands: Springer, 2016: 21-37.

[10] [10] REDMON J, FARHAD A. YOLO9000: better, faster, stronger ［C］//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Honolulu, HI, USA: IEEE, 2017: 6517-6525.

[11] [11] LIU S T, HUANG D, WANG Y H. Receptive field block net for accurate and fast object detection ［C］//15th European Conference on Computer Vision. Munich, Germany: Springer, 2018: 404-419.

[12] [12] REDMON J, FARHAD A. YOLOv3: an incremental improvement ［C］//2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Salt Lake City, UT, USA: IEEE, 2018: 2767-2773.

[16] [16] LIU S, QI L, QIN H F, et al. Path aggregation network for instance segmentation ［C］//Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, UT, USA: IEEE, 2018: 8759-8768.

[17] [17] HUANG G, LIU Z, VAN DER MAATEN L, et al. Densely connected convolutional networks ［C］//2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, HI, USA: IEEE, 2017: 2261-2269.

[18] [18] WOO S, PARK J, LEE J Y, et al. CBAM: convolutional block attention module ［C］//2018 15th European Conference on Computer Vision. Munich, Germany: Springer, 2018: 3-19.

[19] [19] ZHENG Z H, WANG P, LIU W, et al. Distance-IoU loss: faster and better learning for bounding box regression［J］. Proceedings of the AAAI Conference on Artificial Intelligence, 2020, 34(7): 12993-13000.