| Tài liệu tham khảo |
Loại |
Chi tiết |
| [1] Y. LeCun et al. “Convolutional networks and applications in vision,” in Proc. IEEE International Symposium on Circuits and Systems (ISCAS), 2010, pp. 253-256 |
Sách, tạp chí |
| Tiêu đề: |
et al." “Convolutional networks and applications in vision,” in" Proc. IEEE International Symposium on Circuits and Systems (ISCAS) |
|
| [2] B. Lim et al. “Enhanced deep residual networks for single image super- resolution,” in The IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, pp. 136-144 |
Sách, tạp chí |
| Tiêu đề: |
et al." “Enhanced deep residual networks for single image super-resolution,” in "The IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) |
|
| [3] W. Shi et al. “Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp.1874-1883 |
Sách, tạp chí |
| Tiêu đề: |
et al." “Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network,” in "Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) |
|
| [4] K. He et al. “Deep residual learning for image recognition,” in Proc. CVPR, 2016, pp. 770-778 |
Sách, tạp chí |
| Tiêu đề: |
et al." “Deep residual learning for image recognition,” in "Proc. "CVPR |
|
| [5] M. Haris et al. “Deep Back-Projection Networks for super-resolution,” in Proc. CVPR, 2018, pp. 1664-1673 |
Sách, tạp chí |
| Tiêu đề: |
et al." “Deep Back-Projection Networks for super-resolution,” in "Proc. CVPR |
|
| [7] Y. Zhang et al. “Residual dense network for image super-resolution,” in Proc. CVPR, 2018, pp. 2472-2481 |
Sách, tạp chí |
| Tiêu đề: |
et al." “Residual dense network for image super-resolution,” in "Proc. CVPR |
|
| [8] Z. Wang et al. “Image quality assessment: from error visibility to structural similarity,” IEEE transactions on image processing, vol. 13, no. 4, pp. 600-612, April. 2004 |
Sách, tạp chí |
| Tiêu đề: |
et al." “Image quality assessment: from error visibility to structural similarity,” "IEEE transactions on image processing |
|
| [9] G. Huang et al. “Densely connected convolutional networks,” in Proc. CVPR, 2017, pp. 4700-4708 |
Sách, tạp chí |
| Tiêu đề: |
et al." “Densely connected convolutional networks,” in "Proc. "CVPR |
|
| [10] O. Russakovsky et al. “Imagenet large scale visual recognition challenge,” International Journal of Computer Vision, vol. 115, no. 3, pp. 211-252, 2015 |
Sách, tạp chí |
| Tiêu đề: |
et al." “Imagenet large scale visual recognition challenge,” "International Journal of Computer Vision |
|
| [11] D. Martin et al. “A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,” International Journal of Computer Vision, vol. 2, pp. 416–423, July 2001 |
Sách, tạp chí |
| Tiêu đề: |
et al." “A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,”" International Journal of Computer Vision |
|
| [12] R.Timofte et al. “NTIRE 2017 challenge on single image super- resolution: Methods and results,” in Proc. CVPRW, 2017, pp. 1110- 1121 |
Sách, tạp chí |
| Tiêu đề: |
et al". “NTIRE 2017 challenge on single image super-resolution: Methods and results,” in" Proc. CVPRW |
|
| [13] M. Bevilacqua et al. “Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding,” in Proc. British Machine Vision Conference (BMVC), 2012, pp. 135.1-135.10 |
Sách, tạp chí |
| Tiêu đề: |
et al". “Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding,” in "Proc. British Machine Vision Conference (BMVC) |
|
| [14] R. Zeyde et al. “On single image scale-up using sparse-representations,” in Proc. International Conference on Curves and Surfaces, 2010, pp.711-730 |
Sách, tạp chí |
| Tiêu đề: |
et al." “On single image scale-up using sparse-representations,” in "Proc. International Conference on Curves and Surfaces |
|
| [15] D. Martin et al. “A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,” in Proc. International Conference on Computer Vision, 2001, vol. 2, pp. 416-423 |
Sách, tạp chí |
| Tiêu đề: |
et al." “A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,” in "Proc. International Conference on Computer Vision |
|
| [16] J. B. Huang et al. “Single image super-resolution from transformed self- exemplars,” in Proc. CVPR, 2015, pp. 5197-5206 |
Sách, tạp chí |
| Tiêu đề: |
et al." “Single image super-resolution from transformed self-exemplars,” in "Proc. CVPR |
|
| [6] Thông tư số 15/2014/TT-BCA ngày 04/4/2014 của Bộ Công an quy định về đăng ký xe. Internet: http://vbpl.vn/TW/Pages/vbpq- toanvan.aspx?ItemID=37647&Keyword=15/2014/TT-BCA |
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