Hi authors,
Thank you for your great work!
When I was doing some exploratory work around CLIP model, I notices Table 9 of the paper demonstrates that Facial Emotion Recognition 2013 dataset has 8 classes,
which is contradictory to the description of Facial Emotion Recognition 2013 dataset on kaggle.
The task is to categorize each face based on the emotion shown in the facial expression in to one of seven categories (0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral).
So I am curious about how the Facial Emotion Recognition 2013 dataset is used in the paper. Is there a new class added to the original dataset? If so, would you please share the inplementatino details and possible reasons?
Hi authors, Thank you for your great work! When I was doing some exploratory work around CLIP model, I notices Table 9 of the paper demonstrates that Facial Emotion Recognition 2013 dataset has 8 classes,
which is contradictory to the description of Facial Emotion Recognition 2013 dataset on kaggle.
So I am curious about how the Facial Emotion Recognition 2013 dataset is used in the paper. Is there a new class added to the original dataset? If so, would you please share the inplementatino details and possible reasons?
Many thanks, Yuanyang