no code implementations • 26 May 2024 • Nicole Heng Yim Oo, Min Hun Lee, Jeong Hoon Lim
Our experimental results show that among various data modalities (i. e. unstructured data - RGB images and images of facial line segments and structured data - coordinates of facial landmarks and features of facial expressions), the feed-forward neural network using features of facial expression achieved the highest precision of 76. 22 while the ResNet-based model using images of facial line segments achieved the highest recall of 83. 47.
