Diffusion-generated synthetic facial images are reported to raise FER2013 accuracy to 96.47% and RAF-DB accuracy to 99.23% for ResEmoteNet.
Facial expression recognition using residual masking network,
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Improvement in Facial Emotion Recognition using Synthetic Data Generated by Diffusion Model
Diffusion-generated synthetic facial images are reported to raise FER2013 accuracy to 96.47% and RAF-DB accuracy to 99.23% for ResEmoteNet.