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Found 2 papers, 1 papers with code
More comprehensive facial inversion for more effective expression recognition
We extensively evaluate ASIT on facial datasets such as FFHQ and CelebA-HQ, showing that our approach achieves state-of-the-art facial inversion performance.
Facial Expression Recognition
Facial Expression Recognition (FER)
+1
Self-Supervised Deep Subspace Clustering with Entropy-norm
The local structure and dense connectivity of the original data benefit from the self-expressive layer and additional entropy-norm constraint.
