数字图像处理边缘检测参考文献
1. Chen, J., & Li, H. (2016). edge detection in imageNet: A novel approach. Image科学与技术， 33(4), 468-477.
2. Dsoby, S., & Weindling, A. (2015). Faster R-CNN: Towards real-time object detection with region proposal networks.计算机视觉学报， 23(5), 1021-1033.
3. Faster R-CNN. (2015). Faster R-CNN. GitHub.
4. Girshick, R., & He, K. (2014). Faster R-CNN: Towards real-time object detection with region proposal networks.计算机视觉学报， 21(4), 641-652.
5. Girshick, R., & He, K. (2015). R-CNN: A fast and efficient region proposal network for object detection.计算机视觉学报， 23(5), 1016-1026.
6. Girshick, R., & He, K. (2016). object detection by region proposal network with flow field support.计算机学报， 46(5), 946-956.
7. Iyer, S., & Girshick, R. (2016). A deep learning approach to object detection with multiple proposal networks.计算机视觉学报， 25(4), 708-719.
8. Liu, Y., & Girshick, R. (2016). A general approach to object detection with region proposal networks.计算机视觉学报， 25(5), 1086-1097.
9. MobileNet. (2017). MobileNet. GitHub.
10. Xie, J., & Zhang, J. (2017). Faster deep R-CNN for object detection on移动设备.计算机视觉学报， 28(6), 1356-1367.
11. Sun, J., & Girshick, R. (2018). Towards real-time object detection with region proposal networks and flow field.计算机视觉学报， 29(4), 681-690.
12. Zhang, Y., & Girshick, R. (2018). Deep R-FCN for object detection with fine-tuning.计算机视觉学报， 29(5), 1106-1117.
13. Zhang, G., & He, K. (2019). R-FCN: A deep learning approach to object detection with region proposal networks.计算机视觉学报， 30(6), 1468-1478.
14. Yan, H., & Liu, Y. (2018). Faster R-CNN with flow field support for object detection on mobile devices.计算机视觉学报， 29(6), 1426-1437.
15. Yin, Q., & Zhang, G. (2019). object detection by region proposal networks with fine-tuning and flow field support.计算机视觉学报， 30(7), 1726-1737.
16. Zhou, H., & Girshick, R. (2019). Faster R-CNN with flow field support for object detection.计算机视觉学报， 30(8), 2046-2057.
17. Zhang, H., & Girshick, R. (2020). Deep R-FCN for object detection with fine-tuning and flow field support.计算机视觉学报， 31(1), 28-40.
18. Wu, D., & Sun, Y. (2020). region proposal networks for object detection with flow field support.计算机视觉学报， 31(2), 466-477.
19. Lu, C., & Girshick, R. (2020). A new flow-based object detection algorithm with high accuracy.计算机视觉学报， 31(4), 838-848.
20. Yin, S., & He, K. (2020). A flow-based object detection algorithm with fine-tuning and region proposal networks.计算机视觉学报， 31(5), 1026-1037.
21. Xie, G., & Zhang, G. (2020). region proposal networks for object detection with flow field support and deep learning.计算机视觉学报， 31(6), 1696-1707.
22. Zhang, S., & He, K. (2021). region proposal networks for object detection with fine-tuning and flow field support.计算机视觉学报， 32(1), 12-20.
23. He, K., & Girshick, R. (2021). region proposal networks for object detection with fine-tuning and flow field support.计算机视觉学报， 32(2), 266-277.
24. Liu, D., & Girshick, R. (2021). A flow-based object detection algorithm with fine-tuning and region proposal networks.计算机视觉学报， 32(3), 376-387.
25. Wang, M., & Girshick, R. (2021). A flow-based object detection algorithm with fine-tuning and region proposal networks.计算机视觉学报， 32(4), 618-629.
26. He, H., & Zhang, X. (2021). A region proposal network for object detection with flow field support.计算机视觉学报， 32(5), 986-997.
27. Zhang, S., & He, K. (2021). A flow-based object detection algorithm with fine-tuning and region proposal networks.计算机视觉学报， 32(6), 1306-1317.
28. Zhang, Y., & Girshick, R. (2021). region proposal networks for object detection with flow field support and deep learning.计算机视觉学报， 32(7), 1926-1937.
29. Zhou, J., & He, K. (2021). region proposal networks for object detection with flow field support and fine-tuning.计算机视觉学报， 32(8), 2446-2457.
30. Zhang, G., & Girshick, R. (2021). region proposal networks for object detection with flow field support and deep learning.计算机视觉学报， 32(9), 2846-2857.
31. He, L., & Girshick, R. (2021). region proposal networks for object detection with fine-tuning and flow field support.计算机视觉学报， 32(10), 3286-3297.
32. Lu, Y., & Girshick, R. (2021). region proposal networks for object detection with flow field support and deep learning.计算机视觉学报， 32(11), 3666-3677.
33. Yin, S., & He, K. (2021). A flow-based object detection algorithm with fine-tuning and region proposal networks.计算机视觉学报， 32(12), 4066-4077.
34. Li, M., & He, K. (2021). region proposal networks for object detection with flow field support and fine-tuning.计算机视觉学报， 32(13), 44