[2] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 770-778(2016).
[3] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation. [C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 14632381(2014).
[4] Sun X D, Wu P C. Hoi S C H. Face detection using deep learning: an improved Faster RCNN approach[J]. Neurocomputing, 299, 42-50(2018).
[5] 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, 39, 1137-1149(2017).
[6] Du L, Liu B, Wang Y et al. Target detection method based on convolutional neural network for SAR image[J]. Journal of Electronics & Information Technology, 38, 3018-3025(2016).
[7] Kang M, Leng X G, Lin Z et al. A modified Faster R-CNN based on CFAR algorithm for SAR ship detection. [C]∥2017 International Workshop on Remote Sensing with Intelligent Processing (RSIP), May 18-21, 2017, Shanghai, China. New York: IEEE, 16981074(2017).
[8] Li J W, Qu C W, Peng S J et al. Ship detection in SAR images based on convolutional neural network[J]. Systems Engineering and Electronics, 40, 1953-1959(2018).
[12] Chen Y C, Zhu X T, Zheng W S et al. Person re-identification by camera correlation aware feature augmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40, 392-408(2018).
[13] Simonyan K. -04-10)[2019-10-13]. https:∥arxiv., org/abs/1409, 1556(2015).