Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition

Benchmark Model Rank Results
facial-expression-recognition-on-acted-facialLResNet50E-IR (1 model with augmentation)Accuracy(on validation set): 63.7%
facial-expression-recognition-on-acted-facialLResNet50E-IR (1 model)Accuracy(on validation set): 61.1%
facial-expression-recognition-on-acted-facialLResNet50E-IR (5 models with augmentation)Accuracy(on validation set): 65.5%
facial-expression-recognition-on-acted-facialResNet50Accuracy(on validation set): 65.5%
facial-expression-recognition-on-affectnetLResNet50E-IRAccuracy (8 emotion): 53.925
facial-expression-recognition-on-fer-1LResNet50E-IRAccuracy: 89.257