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Mitigating Artifacts in Real-World Video Super-Resolution Models., , , , , and . CoRR, (2022)MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment., , , , , , , and . CVPR Workshops, page 1190-1199. IEEE, (2022)NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results., , , , , , , , , and 68 other author(s). CVPR Workshops, page 1220-1237. IEEE, (2022)Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment., , , , , , and . CoRR, (2023)Weed and Corn Seedling Detection in Field Based on Multi Feature Fusion and Support Vector Machine., , , , and . Sensors, 21 (1): 212 (2021)NTIRE 2022 Challenge on Perceptual Image Quality Assessment., , , , , , , , , and 46 other author(s). CVPR Workshops, page 950-966. IEEE, (2022)NTIRE 2021 Challenge on Perceptual Image Quality Assessment., , , , , , , , , and 40 other author(s). CoRR, (2021)Mitigating Artifacts in Real-World Video Super-resolution Models., , , , , and . AAAI, page 2956-2964. AAAI Press, (2023)Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network., , , , , , , and . CVPR Workshops, page 1139-1148. IEEE, (2022)Region-Adaptive Deformable Network for Image Quality Assessment., , , , , , and . CVPR Workshops, page 324-333. Computer Vision Foundation / IEEE, (2021)