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Weekly Report. Presenter: Sheng- Hsing Hsiao Advisor: Jyh-Shing Roger Jang Dept. of CSIE, National Taiwan University, Taiwan. Outline. New Dataset (RAF) MDSR on FER2013+ Result. New Dataset (RAF).
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Weekly Report Presenter: Sheng-Hsing Hsiao Advisor: Jyh-Shing Roger Jang Dept. of CSIE, National Taiwan University, Taiwan
Outline • New Dataset (RAF) • MDSR on FER2013+ • Result
New Dataset (RAF) Real-world Affective Faces Database (RAF-DB) is a large-scale facial expression database downloaded from the Internet. 29672 number of real-world images 7expression
MDSR on FER2013+ • Enhanced Deep Residual Networks for Single Image Super-Resolution (2017) • Winner of NTIRE2017 Super-Resolution Challenge MDSR 2X Original (48x48) BICUBIC 2X
MDSR on FER2013+ • Combine two dataset
Result • Test on CK+ dataset • 369 images Original New dataset Accuracy: 60.74% Accuracy: 73.28%
Result • Test on CK+ dataset • 369 images Original New dataset Accuracy: 60.74% Accuracy: 73.28%
Result • Error Images
Result • Error Images Ground Truth: anger Prediction: sad
Result • Error Images
Result • Error Images Ground Truth: fear Prediction: sad
Related Work • Reference • Real-world Affective Faces (RAF) Database • Lim, Bee, et al. "Enhanced deep residual networks for single image super-resolution." The IEEE conference on computer vision and pattern recognition (CVPR) workshops. Vol. 1. No. 2. 2017. • Cohn-Kanade (CK and CK+) database