Child Head Gesture Classification through Transformers

TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON)(2022)

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摘要
This paper proposes a transformer network for head pose classification (HPC) which outperforms the existing SoA for HPC. This robust model is then extended to overcome the limited child data challenge by applying transfer learning resulting in an accuracy of 95.34% for child HPC in the wild.
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关键词
transformers,classification,head,child
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