[3] LIN T Y, DOLL?R P, GIRSHICK R, et al.Feature pyramid networks for object detection［C］//IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2017:2117-2125.
[5] HUANG G, LIU Z, WEINBERGER K Q, et al.Densely connected convolutional networks［C］//IEEE Conference on Computer Vision & Pattern Recognition(CVPR), 2016:4700-4708.
[6] REDMON J, FARHADI A.YOLO v3:an incremental improvement［EB/OL］［2018-11-02］.http://arxiv.org/pdf/1804.02767v1.pdf.
[7] SZEGEDY C, LIU W, JIA Y Q, et al.Going deeper with convolutions［C］//IEEE Conference on Computer Vision & Pattern Recognition(CVPR), 2015:1-9.
[8] REDMON J, DIVVALA S, GIRSHICK R, et al.You only look once:unified, real time object detection ［C］//IEEE Conference on Computer Vision & Pattern Recognition(CVPR), 2016:779-788.
[9] REDMON J, FARHADI A.YOLO9000:better, faster, stron- ger［C］//IEEE Conference on Computer Vision & Pattern Recognition(CVPR), 2017:6517-6525.
[10] GIRSHICK R.Fast R-CNN［C］//IEEE International Conference on Computer Vision, 2015:1440-1448.
[11] HE K M, ZHANG X Y, REN S Q, et al.Deep residual learning for image recognition ［C］//IEEE Conference on Computer Vision & Pattern Recognition(CVPR), 2016:770-778.
[12] IOFFE S, SZEGEDY C.Batch normalization:accelerating deep network training by reducing internal covariate shift ［C］//Machine Learning, 2015:448-456.
[13] SZEGEDY C, VANHOUCKE V, IOFFE S, et al.Rethink-ing the inception architecture for computer vision［C］// IEEE Conference on Computer Vision & Pattern Recognition(CVPR), 2016:2818-2826.
[14] HE K M, ZHANG X Y, REN S Q, et al.Spatial pyramid pooling in deep convolutional networks for visual recognition［J］.IEEE Transactions on Pattern Analysis & Machine Intelligence, 2014, 37(9):1904-1916.
[15] HORDIIUK D, OLIINYK I, HNATUSHENKO V, et al.Semantic segmentation for ships detection from satellite imagery［C］//The 39th International Conference on Electronics and Nanotechnology, 2019:454-457.
