Recognizing Facial Expressions in the Wild using Multi-Architectural Representations based Ensemble Learning with Distillation

no code implementations • 30 Jun 2021 • Rauf Momin, Ali Shan Momin, Khalid Rasheed, Muhammad Saqib

We proposed two models, EmoXNet which is an ensemble learning technique for learning convoluted facial representations, and EmoXNetLite which is a distillation technique that is useful for transferring the knowledge from our ensemble model to an efficient deep neural network using label-smoothen soft labels for able to effectively detect expressions in real-time.

Ensemble Learning Facial Expression Recognition +1