Before revision:  According to experimental analysis, our method achieves an accuracy of 98.28\% on the evaluation setof the Aff-Wild2 database . Compared with the traditional Bayesian Neural Network , our method brings the highest classification accuracy gain.
After revision:  Through testing on the FER2013 test set, we achieved 71.5\% and 73.1\% accuracy in PublicTestSet and PrivateTestSet, respectively . Compared with the traditional Bayesian Neural Network , our method brings the highest classification accuracy gain.