Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers

Benchmark Model Rank Results
facial-expression-recognition-on-affectnetViT-baseAccuracy (8 emotion): 57.99
facial-expression-recognition-on-affectnetViT-tinyAccuracy (8 emotion): 58.28
facial-expression-recognition-on-affectnetVit-base + MAEAccuracy (8 emotion): 62.42
facial-expression-recognition-on-fer-1ViT-baseAccuracy: 88.91
facial-expression-recognition-on-fer-1ViT-tinyAccuracy: 88.56
facial-expression-recognition-on-fer-1Vit-base + MAEAccuracy: 90.18
facial-expression-recognition-on-raf-dbViT-baseOverall Accuracy: 87.22
facial-expression-recognition-on-raf-dbViT-base + MAEOverall Accuracy: 91.07
facial-expression-recognition-on-raf-dbViT-tinyOverall Accuracy: 87.03