[1] |
HU Y, LI X, ZHOU N, et al. A sample update-based convolutional neural network framework for object detection in large-area remote sensing images[J]. IEEE Geoscience and Remote Sensing Letters, 2019,16(6):947-951.
|
[2] |
WANG W H, WANG P Z, NIU Z D. A real-time detection algorithm for unmanned aerial vehicle target in infrared search system[C]// Proceedings of the 2018 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). 2018. DOI: 10.1109/ICSPCC.
|
|
2018.8567718.
|
[3] |
祝思君. 基于深度学习的无人机遥感图像目标识别方法研究[D]. 北京:北京建筑大学, 2018.
|
[4] |
薛雅丽,孙瑜,马瀚融. 航空遥感影像中的轻量级小目标检测[J]. 电光与控制, 2022,29(6):11-15.
|
[5] |
KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet classification with deep convolutional networks[C]// Proceedings of the 2012 International Conference on Neural Information Processing Systems (NIPS). 2012:1097-1105.
|
[6] |
HE K M, ZHANG X Y, REN S Q, et al. Deep residual learning for image recognition[C]// Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016:770-778.
|
[7] |
林清平,张麒麟,肖蕾. 采用改进YOLOv5网络的遥感图像目标识别方法[J]. 空军预警学院学报, 2021,35(2):117-120.
|
[8] |
李婕,周顺,朱鑫潮,等. 结合多通道注意力的遥感图像飞机目标检测[J]. 计算机工程与应用, 2022,58(1):209-217.
|
[9] |
LIU T, ZHOU B J, ZHAO Y S, et al. Ship detection algorithm based on improved YOLOv5[C]// Proceedings of the 2021 6th International Conference on Automation, Control and Robotics Engineering (CACRE). 2021:483-487.
|
[10] |
CHEN Y W, ZHANG C, QIAO T F, et al. Ship detection in optical sensing images based on YOLOv5[C]// Proceedings of the 2021 12th International Conference on Graphics and Image Processing (ICGIP 2020). 2021. DOI: 10.1117/12.2589395.
|
[11] |
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.
|
[12] |
HE K M, GKIOXARI G, DOLLAR P, et al. Mask R-CNN[C]// Proceedings of the 2017 IEEE International Conference on Computer Vision (ICCV). 2017:2961-2969.
|
[13] |
REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: Unified, real-time object detection[C]// Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016:779-788.
|
[14] |
LIN T Y, GOYAL P, GIRSHICK R, et al. Focal loss for dense object detection[C]// Proceedings of the 2017 IEEE International Conference on Computer Vision (ICCV). 2017:2980-2988.
|
[15] |
HU J, SHEN L, SUN G. Squeeze-and-excitation networks[C]// Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2018:7132-7141.
|
[16] |
刘丹,吴亚娟,罗南超,等. 嵌入注意力和特征交织模块的Gaussian-YOLOv3目标检测[J]. 计算机应用, 2020,40(8):2225-2230.
|
[17] |
吴止锾,李磊,高永明. 遥感图像舰船检测的旋转卷积集成 YOLOv3 模型[J]. 计算机工程与应用, 2019,55(22):146-151.
|
[18] |
LIN T Y, DOLLAR P, GIRSHICK R, et al. Feature pyramid networks for object detection[C]// Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2017:936-944.
|
[19] |
ZHU X K, LYU S C, WANG X, et al. TPH-YOLOv5: Improved YOLOv5 based on transformer prediction head for object detection on drone-captured scenarios[C]// Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision (ICCV) Workshops. 2021:2778-2788.
|
[20] |
QING Y H, LIU W Y, FENG L Y, et al. Improved YOLO network for free-angle remote sensing target detection[J]. Remote Sensing, 2021,13(11). DOI: 10.3390/rs13112171.
|
[21] |
杨其晟,李文宽,杨晓峰,等. 改进YOLOv5的苹果花生长状态检测方法[J]. 计算机工程与应用, 2022,58(4):237-246.
|
[22] |
WANG Y M, MORARIU V I, DAVIS L S. Learning a discriminative filter bank within a CNN for fine-grained recognition[C]// Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2018:4148-4157.
|
[23] |
HAN J M, DING J, XUE N, et al. ReDet: A rotation-equivariant detector for aerial object detection[C]// Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021:2785-2794.
|
[24] |
CHEN K, PANG J M, WANG J Q, et al. Hybrid task cascade for instance segmentation[C]// Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2019:4969-4978.
|
[25] |
赵文清,孔子旭,周震东,等. 增强小目标特征的航空遥感目标检测[J]. 中国图象图形学报, 2021,26(3):644-653.
|
[26] |
王胜科,任鹏飞,吕昕,等. 基于中心点和双重注意力机制的无人机高分辨率图像小目标检测算法[J]. 应用科学学报, 2021,39(4):650-659.
|
[27] |
赵玉蓉,郭会明,焦函,等. 融合混合域注意力的YOLOv4在船舶检测中的应用[J]. 计算机与现代化, 2021(9):75-82.
|
[28] |
张朕通,单玉刚,袁杰. 联合多尺度和注意力机制的遥感影像检测[J]. 计算机工程与应用, 2021,57(9):212-216.
|
[29] |
DING X H, ZHANG X Y, MA N N, et al. RepVGG: Making VGG-style convNets great again[C]// Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021:13728-13737.
|
[30] |
HOU Q B, ZHOU D Q, FENG J S. Coordinate attention for efficient mobile network design[C]// Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021:13708-13717.
|
[31] |
KINGMA D P, BA J. Adam: A method for stochastic optimization[J]. arXiv preprint arXiv:1412.6980, 2014.
|