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01

Fusion of Traditional and Deep Learning Models for Underwater Image Quality Assessment

2024, IEEE

FTDUIQA, a fusion model that integrates traditional machine learning and deep learning for assessing underwater image quality. By combining CNNIQA, DBCNN, HyperIQA, MSAEQA, and a modified MAUIQA, our approach significantly improved evaluation accuracy on the UID2021 dataset, outperforming existing methods with a PLCC of 0.8654.

Computer VisionResearch