arXiv Open Access 2022

Facial Expression Recognition based on Multi-head Cross Attention Network

Jae-Yeop Jeong Yeong-Gi Hong Daun Kim Yuchul Jung Jin-Woo Jeong

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Abstrak

Facial expression in-the-wild is essential for various interactive computing domains. In this paper, we proposed an extended version of DAN model to address the VA estimation and facial expression challenges introduced in ABAW 2022. Our method produced preliminary results of 0.44 of mean CCC value for the VA estimation task, and 0.33 of the average F1 score for the expression classification task.

Topik & Kata Kunci

cs.CV

Penulis (5)

Jae-Yeop Jeong

Yeong-Gi Hong

Daun Kim

Yuchul Jung

Jin-Woo Jeong

Format Sitasi

APA MLA BibTeX

Jeong, J., Hong, Y., Kim, D., Jung, Y., Jeong, J. (2022). Facial Expression Recognition based on Multi-head Cross Attention Network. https://arxiv.org/abs/2203.13235

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓