1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2026★ 1 cited
Boosting Image Quality Assessment Performance: Unsupervised Score Fusion by Deep Maximum a Posteriori Estimation
Zhongling Wang, Raymond Zhou, Shahrukh Athar +2
Over the past decades, numerous Image Quality Assessment (IQA) models have emerged, aiming to predict the perceptual quality of images. However, individual models are often biased…
eess.IV2026
Automated Disentangling Analysis of Skin Colour for Lesion Images
Wenbo Yang, Eman Rezk, Walaa M. Moursi +1
Machine-learning models applied to skin images often have degraded performance when the skin colour captured in images (SCCI) differs between training and deployment. These discrep…