  In this paper, we present our contribution to ABAW facial expression
challenge. We report the proposed system and the official challenge results
adhering to the challenge protocol. Using end-to-end deep learning and
benefiting from transfer learning approaches, we reached a test set challenge
performance measure of 42.10%.
