A 2.5-million-image machine-centric quality database and a region-aware model show that human-perception metrics poorly predict machine vision performance under degradations.
In: Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2022)
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Image Quality Assessment for Machines: Paradigm, Large-scale Database, and Models
A 2.5-million-image machine-centric quality database and a region-aware model show that human-perception metrics poorly predict machine vision performance under degradations.