Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition

Benchmark Model Rank Results
facial-expression-recognition-on-afewEAC#1Accuracy(on validation set): 65.32%
facial-expression-recognition-on-fer-plusEAC#5Accuracy: 89.64
facial-expression-recognition-on-raf-dbEAC(ResNet-50)#14Overall Accuracy: 90.35
facial-expression-recognition-on-affectnetEAC#26Accuracy (7 emotion): 65.32