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Keyword: FER-2013 Dataset

Emotion Recognition on FER-2013 Face Images Using Fine-Tuned VGG-16

by Gede Putra Kusuma, Jonathan and Andreas Pangestu Lim

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 315–322, 2020; DOI: 10.25046/aj050638

Abstract:

Facial emotion recognition is one among many popular and challenging tasks in the field of computer vision. Numerous researches have been conducted on this task and each proposed either standalone- or ensemble-based processing technique. While many researches strive for better accuracy, this research also attempts to increase the processing efficiency of computer correctly classifying human…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))