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Sep, 2021
ADNet:利用误差偏向于人脸对准中的法向量
ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment
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Yangyu Huang, Hao Yang, Chong Li, Jongyoo Kim, Fangyun Wei
TL;DR
本文针对CNN在人脸对齐中的误差偏置问题,提出方向不各异损失和不各异关注模块来解决该问题,并将其集成到了一个名为ADNet的优化端到端训练管道中,最终在三个数据集中实现了最先进的性能表现。
Abstract
The recent progress of
cnn
has dramatically improved
face alignment
performance. However, few works have paid attention to the
error-bias
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