Evaluating real-life performance of the state-of-the-art in facial expression recognition using a novel YouTube-based datasets.
Muhammad Hameed SiddiqiMaqbool AliMohamed Elsayed Abdelrahman EldibAsfandyar KhanOresti BanosAdil Mehmood KhanSungyoung LeeHyunseung ChooPublished in: Multim. Tools Appl. (2018)
Keyphrases
- real life
- synthetic datasets
- social media
- facial expression recognition
- database
- video dataset
- data sets
- neural network
- real world
- uci machine learning repository
- feature selection
- user interface
- benchmark datasets
- spatio temporal
- high dimensional datasets
- image classification
- artificial neural networks
- decision trees
- genetic algorithm
- real time