[4] [4] Purkait P, Zhao C, Zach C. SPP-Net: deep absolute pose regression with synthetic views[J]. arXiv preprint arXiv: 1712.03452, 2017.

[5] [5] Girshick R. Fast r-cnn[C]//Proceedings of the IEEE International Conference on Computer Vision, 2015: 1440-1448.

[6] [6] Ren S, He K, Girshick R, et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. Advances in Neural Information Processing Systems, 2015, 28: 1137-1149.

[7] [7] Liu W, Anguelov D, Erhan D, et al. SSD: single shot multibox detector[J]//Lecture Notes in Computer Science, 2016: 21-37.

[8] [8] Wang Y, Wang C, Zhang H, et al. Automatic ship detection based on RetinaNet using multi-resolution Gaofen-3 imagery[J]. Remote Sensing, 2019, 11(5): 531.

[9] [9] Redmon J, Divvala S, Girshick R, et al. You only look once: Unified, real-time object detection[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016: 779-788.

[14] [14] Howard A, Sandler M, Chu G, et al. Searching for mobilenetv3[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019: 1314-1324.

[15] [15] Wang J, Chen K, Xu R, et al. Carafe: content-aware reassembly of features[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019: 3007-3016.

[16] [16] Zhang Z, Deng Z, Wu Z, et al. An improved EIoU-Yolov5 algorithm for blood cell detection and counting[C]//2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI). IEEE, 2022: 989-993.

[17] [17] Jia X, Zhu C, Li M, et al. LLVIP: a visible-infrared paired dataset for low-light vision[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021: 3496-3504.