Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation

Benchmark Model Rank Results
facial-expression-recognition-on-affectnetSL (B0)Accuracy (8 emotion): 60.34
facial-expression-recognition-on-affectnetSL (B2)Accuracy (8 emotion): 60.35
facial-expression-recognition-on-affectnetSL + 20% train (B0)Accuracy (8 emotion): 52.46
facial-expression-recognition-on-affectnetSL + SSL in-panting-pl (B0)Accuracy (8 emotion): 61.72
facial-expression-recognition-on-affectnetSL + SSL puzzling (B0)Accuracy (8 emotion): 61.09
facial-expression-recognition-on-affectnetSL + SSL puzzling (B2)Accuracy (8 emotion): 61.32
facial-expression-recognition-on-affectnetSL+ SSL in-painting-pl + 20% train (B0)Accuracy (8 emotion): 55.36
facial-expression-recognition-on-affectnetSL+ SSL puzzling + 20% train (B0)Accuracy (8 emotion): 54.98
facial-expression-recognition-on-ckNonlinear eval on SL + SSL puzzling (B0)Accuracy (7 emotion): 98.23