  This paper is a brief introduction to our submission to the seven basic
expression classification track of Affective Behavior Analysis in-the-wild
Competition held in conjunction with the IEEE International Conference on
Automatic Face and Gesture Recognition (FG) 2020. Our method combines Deep
Residual Network (ResNet) and Bidirectional Long Short-Term Memory Network
(BLSTM), achieving 64.3% accuracy and 43.4% final metric on the validation set.
