Trong tương lai, nhóm sẽ thu thập dữ liệu không ảnh chứa sương mờ để huấn luyện mô hình FFA-Net để tạo ra phân phối dữ liệu phù hợp với góc nhìn từ trên không.
Thực hiên tinh chỉnh tham số mô hình phương pháp PAA cho phù hợp với bộ dữ liệu không ảnh.
45
TÀI LIỆU THAM KHẢO
[1] D. Chen et al., “Gated context aggregation network for image dehazing and deraining,” in 2019 IEEE winter conference on applications of computer vision (WACV), 2019, pp. 1375–1383.
[2] K. He, J. Sun, and X. Tang, “Single image haze removal using dark channel prior,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 12, pp. 2341–2353, 2010.
[3] B. Li, X. Peng, Z. Wang, J. Xu, and D. Feng, “Aod-net: All-in-one dehazing network,” in Proceedings of the IEEE international conference
on computer vision, 2017, pp. 4770–4778.
[4] D. Yang and J. Sun, “Proximal dehaze-net: A prior learning-based deep network for single image dehazing,” in Proceedings of the european conference on computer vision (ECCV), 2018, pp. 702–717.
[5] X. Qin, Z. Wang, Y. Bai, X. Xie, and H. Jia, “FFA-Net: Feature fusion attention network for single image dehazing,” in Proceedings of the AAAI
Conference on Artificial Intelligence, 2020, vol. 34, no. 07, pp. 11908–
11915.
[6] D. Du et al., “The unmanned aerial vehicle benchmark: Object detection and tracking,” in Proceedings of the European conference on computer vision (ECCV), 2018, pp. 370–386.
[7] K. Kim and H. S. Lee, “Probabilistic anchor assignment with iou prediction for object detection,” in European Conference on Computer Vision, 2020, pp. 355–371.
[8] P. Poirson, P. Ammirato, C.-Y. Fu, W. Liu, J. Kosecka, and A. C. Berg, “Fast single shot detection and pose estimation,” in 2016 Fourth International Conference on 3D Vision (3DV), 2016, pp. 676–684.
[9] E. J. McCartney, “Optics of the atmosphere: scattering by molecules and particles,” New York, 1976.
[10] S. G. Narasimhan and S. K. Nayar, “Chromatic framework for vision in bad weather,” in Proceedings IEEE Conference on Computer Vision and
Pattern Recognition. CVPR 2000 (Cat. No. PR00662), 2000, vol. 1, pp.
598–605.
46
Comput. Vis., vol. 48, no. 3, pp. 233–254, 2002.
[12] B. Cai, X. Xu, K. Jia, C. Qing, and D. Tao, “Dehazenet: An end-to-end system for single image haze removal,” IEEE Trans. Image Process., vol. 25, no. 11, pp. 5187–5198, 2016.
[13] W. Ren, S. Liu, H. Zhang, J. Pan, X. Cao, and M.-H. Yang, “Single image dehazing via multi-scale convolutional neural networks,” in European conference on computer vision, 2016, pp. 154–169.
[14] B. Li et al., “Benchmarking single-image dehazing and beyond,” IEEE Trans. Image Process., vol. 28, no. 1, pp. 492–505, 2018.
[15] K. Chen et al., “MMDetection: Open mmlab detection toolbox and
47