[1] [1] 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.

[2] [2] CAI Z W,VASCONCELOS N.Cascade R-CNN:delving into high quality object detection［C］//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR).Salt Lake City:IEEE,2018:6154-6162.

[3] [3] HE K M,GKIOXARI G,DOLLR P,et al.Mask R-CNN［C］//International Conference on Computer Vision(ICCV).Venice:IEEE,2017:2961-2929.

[4] [4] REDMON J,DIVVALA S,GIRSHICK R,et al.You only look once:unified,real-time object detection［C］//Conference on Computer Vision and Pattern Recognition(CVPR).Las Vegas:IEEE,2016:779-788.

[5] [5] LIU W,ANGUELOV D,ERHAN D,et al.SSD:single shot multibox detector［C］//European Conference on Computer Vision(ECCV).Amsterdam:Springer,2016:21-37.

[6] [6] LIN T Y,GOYAL P,GIRSHICK R,et al.Focal loss for dense object detection［C］//Proceedings of the IEEE International Conference on Computer Vision (ICCV).Venice:IEEE,2017:2980-2988.

[7] [7] YAN Z X,LI Z B,XIE Y Q,et al.ReBiDet:an enhanced ship detection model utilizing redet and bi-directional feature fusion［J］.Applied Sciences,2023,13(12):7080.

[9] [9] LIU D Y.TS2ANet:ship detection network based on Transformer［J］.Journal of Sea Research,2023,195:102415.

[12] [12] WANG C Y,BOCHKOVSKIY A,LIAO H Y M.YOLOv7:trainable bag-of-freebies sets new state-of-the-art for real-time object detectors［C］//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR).Boston:IEEE,2023:7464-7475.

[13] [13] LI C,ZHOU A J,YAO A B.Omni-dimensional dynamic convolution［R］.Los Alamos:arXiv Preprint 2022:arXiv:2209.07947.

[14] [14] DING X H,ZHANG X Y,HAN J G,et al.Scaling up your kernels to 31×31:revisiting large kernel design in CNNS［C］//Conference on Computer Vision and Pattern Recognition(CVPR).New Orleans:IEEE,2022:11963-11975.

[15] [15] LIU Z K,YUAN L,WENG L B,et al.A high resolution optical satellite image dataset for ship recognition and some new baselines［C］//The 6th International Conference on Pattern Recognition Applications and Methods(ICPRAM).Porto:ICPRAM:2017:324-331.

[16] [16] XIA G S,BAI X,DING J,et al.DOTA:a large-scale dataset for object detection in aerial images［C］//Conference on Computer Vision and Pattern Recognition(CVPR).Salt Lake City:IEEE,2018:3974-3983.

[17] [17] XIE X X,CHENG G,WANG J B,et al.Oriented R-CNN for object detection［C］//International Conference on Computer Vision(ICCV).Montreal:IEEE,2021:3520-3529.

[18] [18] YANG Y,PAN Z X,HU Y X,et al.CPS-Det:an anchor-free based rotation detector for ship detection［J］.Remote Sensing,2021,13(11):2208.