A Taylor-expansion KAN variant outperforms B-spline, orthogonal-polynomial, wavelet, and Fourier KAN variants and MLPs on five authentic BIQA databases, with PCA and shallow layers reducing training cost.
Pseudo light field image and 4D Wavelet-transform-based reduced-reference light field image quality assessment,
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Taylor expansion-based Kolmogorov-Arnold network for blind image quality assessment
A Taylor-expansion KAN variant outperforms B-spline, orthogonal-polynomial, wavelet, and Fourier KAN variants and MLPs on five authentic BIQA databases, with PCA and shallow layers reducing training cost.