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This research aims to enhance art style recognition by incorporating color perception into deep learning techniques.

May 31, 2026Scientific ReportsOpen Access

Deep learning approach for art style recognition and colour restoration in visual art images

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This research aims to enhance art style recognition by incorporating color perception into deep learning techniques.
Developed a color perception-aware framework integrated with a ResNet-50 backbone.
Implemented psychologically motivated color preprocessing techniques including saturation enhancement.
Evaluated framework on the WikiArt dataset featuring 27 distinct art styles.
Achieved a test accuracy of 90.2% ± 0.3 on art style recognition.
Outperformed existing state-of-the-art methods without larger architectures or multi-modal inputs.
Demonstrated that incorporating human color perception leads to significant improvements in classification performance.

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Randomized trial demonstrates improved color perception in art style recognition, suggesting significant performance gains.

Huichao Zhang (2026) studied this question.

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