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@article{bb24669,
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        TITLE = "Discriminative Convolutional Neural Network for Image Quality
Assessment with Fixed Convolution Filters",
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        VOLUME = "E102-D",
        YEAR = "2019",
        NUMBER = "11",
        MONTH = "November",
        PAGES = "2265-2266",
        BIBSOURCE = "http://www.visionbib.com/bibliography/image-proc135leq2.html#TT23209"}

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        BIBSOURCE = "http://www.visionbib.com/bibliography/image-proc135leq2.html#TT23211"}

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        TITLE = "Image Quality Assessment Using Kernel Sparse Coding",
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        TITLE = "MaD-DLS: Mean and Deviation of Deep and Local Similarity for Image
Quality Assessment",
        JOURNAL = MultMed,
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        YEAR = "2021",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/image-proc135leq2.html#TT23213"}

@inproceedings{bb24674,
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        TITLE = "Natural Scene Statistics and CNN Based Parallel Network for Image
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        BOOKTITLE = ICIP21,
        YEAR = "2021",
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@article{bb24675,
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        TITLE = "SPIQ: A Self-Supervised Pre-Trained Model for Image Quality
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        BIBSOURCE = "http://www.visionbib.com/bibliography/image-proc135leq2.html#TT23215"}

@article{bb24676,
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        TITLE = "Viewport-Based CNN:
A Multi-Task Approach for Assessing 360 Video Quality",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/image-proc135leq2.html#TT23216"}

@article{bb24677,
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Method",
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        TITLE = "Convolutional Neural Networks for Omnidirectional Image Quality
Assessment: A Benchmark",
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        YEAR = "2022",
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        TITLE = "Convolutional Neural Networks for Omnidirectional Image Quality
Assessment: Pre-Trained or Re-Trained?",
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@article{bb24680,
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full-reference image quality assessment: An application for biometric",
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knowledge distillation",
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@article{bb24682,
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@inproceedings{bb24688,
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        TITLE = "Incorporating Semi-Supervised and Positive-Unlabeled Learning for
Boosting Full Reference Image Quality Assessment",
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