[2] [2] 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.

[3] [3] LIU W, ANGUELOV D, ERHAN D, et al. SSD: Single shot multibox detector[C]//Computer Vision-ECCV 2016:14th European Conference, October 11-14, 2016, Amsterdam, The Netherlands. Cham: Springer International Publishing, 2016:21-37.

[4] [4] LIN T Y, GOYAL P, GIRSHICK R, et al. Focal loss for dense object detection[C]//IEEE International Conference on Computer Vision, October 22-27, 2017, Venice, Italy. New York: IEEE, 2017:2980-2988.

[5] [5] 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.

[6] [6] GIRSHICK R. Fast R-CNN[C]//IEEE International Conference on Computer Vision，December 7-13, 2015, Santiago, Chile. New York: IEEE, 2015:1440-1448.

[8] [8] LI J, LIANG X, WEI Y, et al. Perceptual generative adversarial networks for small object detection[C]//IEEE Conference on Computer Vision and Pattern Recognition, July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 2017:1222-1230.

[9] [9] NOH J, BAE W, LEE W, et al. Better to follow, follow to be better: Towards precise supervision of feature super-resolution for small object detection[C]//IEEE/CVF International Conference on Computer Vision, October 27-November 2, 2019, Seoul, Karea. New York: IEEE, 2019:9725-9734.

[10] [10] SHI W, CABALLERO J, HUSZR F, et al. Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network[C]//IEEE Conference on Computer Vision and Pattern Recognition, June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 2016:1874-1883.

[11] [11] ZHANG Z, WANG Z, LIN Z, et al. Image super-resolution by neural texture transfer[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 15-20, 2019, Long Beach, CA, USA. New York: IEEE, 2019:7982-7991.

[12] [12] LIN T Y, Dollr P, GIRSHICK R, et al. Feature pyramid networks for object detection[C]//IEEE Conference on Computer Vision and Pattern Recognition, October 22-27, 2017, Venice, Italy. New York: IEEE, 2017:2117-2125.

[13] [13] LIU S, QI L, QIN H, et al. Path aggregation network for instance segmentation[C]//IEEE Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 2018:8759-8768.

[16] [16] SHI W, BAO S, TAN D. FFESSD: an accurate and efficient single-shot detector for target detection[J]. Applied Sciences, 2019, 9(20): 4276.

[18] [18] LI Y, L C. SS-YOLO: an object detection algorithm based on YOLOv3 and ShuffleNet [C]//2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), June 12-14, 2020, Chongqing, China. New York: IEEE, 2020: 769-772.