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

Benchmark Model Rank Results
facial-expression-recognition-on-acted-facialEAC#1Accuracy(on validation set): 65.32%
facial-expression-recognition-on-affectnetEAC#25Accuracy (7 emotion): 65.32
facial-expression-recognition-on-fer-1EAC#5Accuracy: 89.64
facial-expression-recognition-on-raf-dbEAC(ResNet-50)#13Overall Accuracy: 90.35