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cs.CV2024
ATTIQA: Generalizable Image Quality Feature Extractor using Attribute-aware Pretraining
Daekyu Kwon, Dongyoung Kim, Sehwan Ki +3
In no-reference image quality assessment (NR-IQA), the challenge of limited dataset sizes hampers the development of robust and generalizable models. Conventional methods address t…
cs.CV2019
A Novel Just-Noticeable-Difference-based Saliency-Channel Attention Residual Network for Full-Reference Image Quality Predictions
Soomin Seo, Sehwan Ki, Munchurl Kim
Recently, due to the strength of deep convolutional neural networks (CNN), many CNN-based image quality assessment (IQA) models have been studied. However, previous CNN-based IQA m…