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基于ADcFNet和深度学习的面部表情识别技术,采用FER视觉变换器
面部表情识别技术融合多阶段优化方法,采用S-Gbed滤波器增强边缘细节并降噪,结合DHE提升图像对比度。通过T-FERViT三重注意力视觉Transformer提取特征,利用Honey Badger混沌优化算法筛选最优特征,最终构建ADcFNet模型,集成非洲鹫优化算法优化损失函数。在KDEF、FER ...
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