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Feedback Network for Image Super-Resolution., , , , , и . CVPR, стр. 3867-3876. Computer Vision Foundation / IEEE, (2019)Intelligent construction of English-Chinese bilingual context model based on CBR.. J. Intell. Fuzzy Syst., 37 (1): 95-101 (2019)Super-resolution Reconstruction Algorithm Based on Patch Similarity and Back-projection Modification., , , , и . J. Softw., 9 (7): 1862-1867 (2014)Lightweight refined networks for single image super-resolution., , , , и . Multim. Tools Appl., 81 (3): 3439-3458 (2022)A trusted medical image super-resolution method based on feedback adaptive weighted dense network., , , , и . Artif. Intell. Medicine, (2020)Lightweight image super-resolution with a feature-refined network., , и . Signal Process. Image Commun., (2023)Remote Sensing Image Super-resolution Using Dual-Dictionary Pairs Based on Sparse Presentation and Multiple Features., , , , и . ICIMCS, стр. 90. ACM, (2014)DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-Cell Clustering., , , , , и . ICIC (LNBI 1), том 14881 из Lecture Notes in Computer Science, стр. 380-392. Springer, (2024)A fast single-image super-resolution method implemented with CUDA., , , , , и . J. Real Time Image Process., 16 (1): 81-97 (2019)Affine Projection Algorithm-Based High-Order Error Power for Partial Discharge Denoising in Power Cables., , , , , и . IEEE Trans. Instrum. Meas., 69 (4): 1821-1832 (2020)