arXiv Open Access 2020

Deep Convolutional Neural Network Based Facial Expression Recognition in the Wild

Hafiq Anas Bacha Rehman Wee Hong Ong

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Abstrak

This paper describes the proposed methodology, data used and the results of our participation in the ChallengeTrack 2 (Expr Challenge Track) of the Affective Behavior Analysis in-the-wild (ABAW) Competition 2020. In this competition, we have used a proposed deep convolutional neural network (CNN) model to perform automatic facial expression recognition (AFER) on the given dataset. Our proposed model has achieved an accuracy of 50.77% and an F1 score of 29.16% on the validation set.

Topik & Kata Kunci

cs.CV

Penulis (3)

Hafiq Anas

Bacha Rehman

Wee Hong Ong

Format Sitasi

APA MLA BibTeX

Anas, H., Rehman, B., Ong, W.H. (2020). Deep Convolutional Neural Network Based Facial Expression Recognition in the Wild. https://arxiv.org/abs/2010.01301

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓