TOPIQ: a top-down approach from semantics to distortions for image quality assessment
Image Quality Assessment (IQA) is a fundamental task in computer vision that has witnessed remarkable progress with deep neural networks. Inspired by the characteristics of the human visual system, existing methods typically use a combination of global and local representations (i.e., multi-scale fe...
Main Authors: | Chen, Chaofeng, Mo, Jiadi, Hou, Jingwen, Wu, Haoning, Liao, Liang, Sun, Wenxiu, Yan, Qiong, Lin, Weisi |
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Other Authors: | College of Computing and Data Science |
Format: | Journal Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/178455 |
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