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Xu, \u201cImage colorization using cyclegan with semantic and spatial rationality,\u201d Multimedia Tools and Applications, vol.82, pp.21641-21655, 2023. 10.1007\/s11042-023-14675-9","DOI":"10.1007\/s11042-023-14675-9"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] Y. Mei, Y. Fan, and Y. Zhou, \u201cImage super-resolution with non-local sparse attention,\u201d Proc. IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp.3517-3526, 2021.","DOI":"10.1109\/CVPR46437.2021.00352"},{"key":"11","doi-asserted-by":"publisher","unstructured":"[11] B. Xia, Y. Hang, Y. Tian, W. Yang, Q. Liao, and J. Zhou, \u201cEfficient non-local contrastive attention for image super-resolution,\u201d Proc. AAAI Conference on Artificial Intelligence, vol.36, no.3, pp.2759-2767, 2022. 10.1609\/aaai.v36i3.20179","DOI":"10.1609\/aaai.v36i3.20179"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] L. Wang, Y. Wang, X. Dong, Q. Xu, J. Yang, W. An, and Y. 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Chu, \u201cA dynamic fusion of local and non-local features-based feedback network on super-resolution,\u201d Symmetry, vol.15, no.4, 2023. 10.3390\/sym15040885","DOI":"10.3390\/sym15040885"},{"key":"16","doi-asserted-by":"publisher","unstructured":"[16] P. Behjati, P. Rodriguez, C. Fern\u00e1ndez, I. Hupont, A. Mehri, and J. Gonz\u00e0lez, \u201cSingle image super-resolution based on directional variance attention network,\u201d Pattern Recognition, vol.133, 108997, 2023. 10.1016\/j.patcog.2022.108997","DOI":"10.1016\/j.patcog.2022.108997"},{"key":"17","unstructured":"[17] Y. Zhang, K. Li, K. Li, B. Zhong, and Y. Fu, \u201cResidual non-local attention networks for image restoration,\u201d ICLR, 2019."},{"key":"18","unstructured":"[18] H. Chen, J. Gu, and Z. Zhang, \u201cAttention in attention network for image super-resolution,\u201d arXiv preprint arXiv:2104.09497, 2021."},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] M. Bevilacqua, A. Roumy, C. Guillemot, and M.L. Alberi-Morel, \u201cLow-complexity single-image super-resolution based on nonnegative neighbor embedding,\u201d Proc. 23rd British Machine Vision Conference (BMVC), 2012.","DOI":"10.5244\/C.26.135"},{"key":"20","doi-asserted-by":"publisher","unstructured":"[20] R. Zeyde, M. Elad, and M. Protter, \u201cOn single image scale-up using sparse-representation,\u201d International conference on curves and surfaces, pp.711-730, Springer, 2010. 10.1007\/978-3-642-27413-8_47","DOI":"10.1007\/978-3-642-27413-8_47"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] D. Martin, C. Fowlkes, D. Tal, and J. Malik, \u201cA database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,\u201d Proc. Eighth IEEE International Conference on Computer Vision. ICCV 2001, vol.2, pp.416-423, 2001. 10.1109\/iccv.2001.937655","DOI":"10.1109\/ICCV.2001.937655"},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] J.-B. 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