Sept. 16, 2022, 1:15 a.m. | Rui Ma, Qingbo Wu, King N. Ngan, Hongliang Li, Fanman Meng, Linfeng Xu

cs.CV updates on arXiv.org arxiv.org

Recent years have witnessed the great success of blind image quality
assessment (BIQA) in various task-specific scenarios, which present invariable
distortion types and evaluation criteria. However, due to the rigid structure
and learning framework, they cannot apply to the cross-task BIQA scenario,
where the distortion types and evaluation criteria keep changing in practical
applications. This paper proposes a scalable incremental learning framework
(SILF) that could sequentially conduct BIQA across multiple evaluation tasks
with limited memory capacity. More specifically, we develop …

arxiv framework image incremental quality scalable

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