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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772nns1.html#TT163370"}

@article{bb167903,
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        AUTHOR = "Zhang, L.B. and Chen, D.H. and Ma, J. and Zhang, J.",
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@article{bb167905,
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        TITLE = "Deep Learning-Based Single Image Super-Resolution: An Investigation
for Dense Scene Reconstruction with UAS Photogrammetry",
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@article{bb167906,
        AUTHOR = "Xu, W.J. and Song, H. and Zhang, K. and Liu, Q.S. and Liu, J.",
        TITLE = "Learning Lightweight Multi-Scale Feedback Residual Network for Single
Image Super-Resolution",
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        YEAR = "2020",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772nns1.html#TT163374"}

@article{bb167907,
        AUTHOR = "Li, B. and Wang, B. and Liu, J.B. and Qi, Z.Q. and Shi, Y.",
        TITLE = "s-LWSR: Super Lightweight Super-Resolution Network",
        JOURNAL = IP,
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        YEAR = "2020",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772nns1.html#TT163375"}

@article{bb167908,
        AUTHOR = "Lei, S. and Shi, Z. and Zou, Z.",
        TITLE = "Coupled Adversarial Training for Remote Sensing Image
Super-Resolution",
        JOURNAL = GeoRS,
        VOLUME = "58",
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@article{bb167909,
        AUTHOR = "Li, Q.A. and Wang, Q. and Li, X.L.",
        TITLE = "Mixed 2D/3D Convolutional Network for Hyperspectral Image
Super-Resolution",
        JOURNAL = RS,
        VOLUME = "12",
        YEAR = "2020",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772nns1.html#TT163377"}

@article{bb167910,
        AUTHOR = "Li, Q.A. and Wang, Q. and Li, X.L.",
        TITLE = "Exploring the Relationship Between 2D/3D Convolution for
Hyperspectral Image Super-Resolution",
        JOURNAL = GeoRS,
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@article{bb167911,
        AUTHOR = "Liu, J. and Wu, Z. and Xiao, L. and Sun, J. and Yan, H.",
        TITLE = "A Truncated Matrix Decomposition for Hyperspectral Image
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772nns1.html#TT163379"}

@article{bb167912,
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        TITLE = "Refining high-frequencies for sharper super-resolution and deblurring",
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@inproceedings{bb167913,
        AUTHOR = "Singh, V. and Ramnath, K. and Arunachalam, S. and Mittal, A.",
        TITLE = "Going Much Wider with Deep Networks for Image Super-Resolution",
        BOOKTITLE = WACV20,
        YEAR = "2020",
        PAGES = "2332-2343",
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@article{bb167914,
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        TITLE = "E-ProSRNet:
An enhanced progressive single image super-resolution approach",
        JOURNAL = CVIU,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772nns1.html#TT163382"}

@article{bb167915,
        AUTHOR = "Guo, Y. and Luo, Y. and He, Z. and Huang, J. and Chen, J.",
        TITLE = "Hierarchical Neural Architecture Search for Single Image
Super-Resolution",
        JOURNAL = SPLetters,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772nns1.html#TT163383"}

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        TITLE = "Cascading and Enhanced Residual Networks for Accurate Single-Image
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        TITLE = "Multi-Grained Attention Networks for Single Image Super-Resolution",
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@inproceedings{bb167921,
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        TITLE = "Second-Order Attention Network for Single Image Super-Resolution",
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@inproceedings{bb167922,
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@article{bb167923,
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        TITLE = "Deep Shearlet Residual Learning Network for Single Image
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@article{bb167924,
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Arbitrary Scaling Factors",
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@article{bb167925,
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@inproceedings{bb167934,
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@inproceedings{bb167936,
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@inproceedings{bb167937,
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@inproceedings{bb167940,
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@inproceedings{bb167941,
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@inproceedings{bb167945,
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@inproceedings{bb167948,
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@inproceedings{bb167951,
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@inproceedings{bb167952,
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Single-Image Super-Resolution",
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@inproceedings{bb167956,
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@inproceedings{bb167957,
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@inproceedings{bb167958,
        AUTHOR = "Li, Z. and Yang, J. and Liu, Z. and Yang, X.M. and Jeon, G.G. and Wu, W.",
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@inproceedings{bb167959,
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@inproceedings{bb167960,
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@inproceedings{bb167962,
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        TITLE = "Thermal Image Super-Resolution Through 
Deep Convolutional Neural Network",
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        PAGES = "II:417-426",
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@inproceedings{bb167963,
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@inproceedings{bb167964,
        AUTHOR = "Xie, T. and Yang, X. and Jia, Y. and Zhu, C. and LI, X.",
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@inproceedings{bb167965,
        AUTHOR = "Hsu, C. and Lin, C.",
        TITLE = "Dual Reconstruction with Densely Connected Residual Network for
Single Image Super-Resolution",
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        YEAR = "2019",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772nns1.html#TT163433"}

@inproceedings{bb167966,
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@inproceedings{bb167967,
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        TITLE = "Context-aware Residual Network with Promotion Gates for Single Image
Super-resolution",
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@inproceedings{bb167968,
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Single Model in Single Image Super-Resolution",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772nns1.html#TT163436"}

@inproceedings{bb167969,
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        YEAR = "2019",
        PAGES = "I:3-17",
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@inproceedings{bb167970,
        AUTHOR = "Pendurkar, S. and Banerjee, B. and Saha, S. and Bovolo, F.",
        TITLE = "Single Image Super-Resolution for Optical Satellite Scenes Using Deep
Deconvolutional Network",
        BOOKTITLE = CIAP19,
        YEAR = "2019",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772nns1.html#TT163438"}

@inproceedings{bb167971,
        AUTHOR = "Vu, T. and Luu, T.M. and Yoo, C.D.",
        TITLE = "Perception-Enhanced Image Super-Resolution via Relativistic Generative
Adversarial Networks",
        BOOKTITLE = PerceptualRest18,
        YEAR = "2018",
        PAGES = "V:98-113",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772nns1.html#TT163439"}

@inproceedings{bb167972,
        AUTHOR = "Vasu, S. and Madam, N.T. and Rajagopalan, A.N.",
        TITLE = "Analyzing Perception-Distortion Tradeoff Using Enhanced Perceptual
Super-Resolution Network",
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@inproceedings{bb167973,
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Single Image Super-Resolution",
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@inproceedings{bb167975,
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@inproceedings{bb167977,
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for Single Image Super-Resolution",
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@inproceedings{bb167978,
        AUTHOR = "Cheng, X. and Li, X. and Yang, J. and Tai, Y.",
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Excitation Networks",
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@inproceedings{bb167979,
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@inproceedings{bb167980,
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@inproceedings{bb167981,
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@inproceedings{bb167982,
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@inproceedings{bb167983,
        AUTHOR = "Vu, T. and Nguyen, C.V. and Pham, T.X. and Luu, T.M. and Yoo, C.D.",
        TITLE = "Fast and Efficient Image Quality Enhancement via Desubpixel
Convolutional Neural Networks",
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@inproceedings{bb167984,
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Information Loss in Single-Image Super-Resolution",
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@inproceedings{bb167985,
        AUTHOR = "Park, D. and Kim, K. and Chun, S.Y.",
        TITLE = "Efficient Module Based Single Image Super Resolution for Multiple
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@inproceedings{bb167986,
        AUTHOR = "Zeng, K. and Zheng, H. and Qu, Y. and Qu, X. and Bao, L. and Chen, Z.",
        TITLE = "Single Image Super-Resolution With Learning Iteratively Non-Linear
Mapping Between Low- and High-Resolution Sparse Representations",
        BOOKTITLE = ICPR18,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772nns1.html#TT163454"}

@inproceedings{bb167987,
        AUTHOR = "Jiang, T. and Zhang, Y. and Wu, X. and Lu, G. and Hao, F. and Zhang, Y.",
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Inception Network",
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@inproceedings{bb167988,
        AUTHOR = "Shang, X. and Yang, W. and Sun, S. and Tian, Y. and Chen, H. and Chen, K.",
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@inproceedings{bb167989,
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@inproceedings{bb167990,
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@inproceedings{bb167991,
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@inproceedings{bb167992,
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@inproceedings{bb167993,
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@inproceedings{bb167994,
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@inproceedings{bb167995,
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@inproceedings{bb167996,
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@inproceedings{bb167997,
        AUTHOR = "Zhao, M.D. and Cheng, C.Q. and Zhang, Z.J. and Hao, X.Y.",
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reconstructing high frequency information of the single image",
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@inproceedings{bb167998,
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Convolutional Neural Network",
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@inproceedings{bb167999,
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