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Object-level Attention for Aesthetic Rating Distribution Prediction.

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Exploring semantic information for deep image aesthetics assessment. Nanyang Technological University, Singapore, (2023)Extreme Systematic Reviews: A Large Literature Screening Dataset to Support Environmental Policymaking., , , , , and . CIKM, page 4029-4033. ACM, (2022)FAST-VQA: Efficient End-to-End Video Quality Assessment with Fragment Sampling., , , , , , , and . ECCV (6), volume 13666 of Lecture Notes in Computer Science, page 538-554. Springer, (2022)Online teaching quality evaluation model based on support vector machine and decision tree.. J. Intell. Fuzzy Syst., 40 (2): 2193-2203 (2021)Perceptual Quality Assessment of Enhanced Colonoscopy Images: A Benchmark Dataset and an Objective Method., , , , , , , and . IEEE Trans. Circuits Syst. Video Technol., 33 (10): 5549-5561 (October 2023)Object-level Attention for Aesthetic Rating Distribution Prediction., , and . ACM Multimedia, page 816-824. ACM, (2020)Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models., , , , , , , , , and 4 other author(s). CoRR, (2023)Distilling Knowledge From Object Classification to Aesthetics Assessment., , , , and . IEEE Trans. Circuits Syst. Video Technol., 32 (11): 7386-7402 (2022)Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approach., , , , , , , , and . ACM Multimedia, page 1045-1054. ACM, (2023)Content-Dependency Reduction With Multi-Task Learning In Blind Stitched Panoramic Image Quality Assessment., , and . ICIP, page 3463-3467. IEEE, (2020)