Deep generative-contrastive networks for facial expression recognition

Understand

As the expressive depth of an emotional face differs with individuals or expressions, recognizing an expression using a single facial image at a moment is difficult.

• A relative expression of a query face compared to a reference face might alleviate this difficulty.
• In this paper, we propose to utilize contrastive representation that embeds a distinctive expressive factor for a discriminative purpose.
• The contrastive representation is calculated at the embedding layer of deep networks by comparing a given (query) image with the reference image.