Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition

Benchmark Model Rank Results
facial-expression-recognition-on-affectnetRAN (ResNet-18+)#18Accuracy (8 emotion): 59.5
facial-expression-recognition-on-ferplusRAN (VGG-16)#1Accuracy(pretrained): 89.16
facial-expression-recognition-on-raf-dbRAN (ResNet-18)#23Overall Accuracy: 86.9
facial-expression-recognition-on-sfewRAN (VGG16+ResNet18)#2Accuracy: 56.4