A facial depression recognition method based on hybrid multi-head cross attention network.

Frontiers in neuroscience(2023)

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摘要
We proposed a deep learning hybrid model for depression recognition by capturing the higher-order interactions between the depression features of multiple facial regions, which can effectively reduce the error in depression recognition and gives great potential for clinical experiments.
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关键词
facial depression recognition, convolutional neural networks, attention mechanism, automatic depression estimation, end-to-end network
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