Facial Expression Recognition On Raf Db

평가 지표

Overall Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

비교 표

모델 이름	Overall Accuracy
a-dual-direction-attention-mixed-feature	92.34
grefel-geometry-aware-reliable-facial	92.47
facial-expression-recognition-using-vanilla	87.03
distract-your-attention-multi-head-cross	89.70
representation-learning-and-identity	93.09
distribution-matching-for-heterogeneous-multi	-
facial-expression-recognition-using-vanilla	91.07
expression-affect-action-unit-recognition-aff	-
fernext-facial-expression-recognition-using	88.56
from-static-to-dynamic-adapting-landmark-1	92.57
multi-label-compound-expression-recognition-c	-
facial-expression-recognition-in-the-wild-via	87.78
batch-transformer-look-for-attention-in-batch	92.54
robust-lightweight-facial-expression	88.36
region-attention-networks-for-pose-and	86.9
relative-uncertainty-learning-for-facial	88.98
poster-v2-a-simpler-and-stronger-facial	92.21
distribution-matching-for-multi-task-learning	-
vision-transformer-with-attentive-pooling-for	91.98
learning-deep-global-multi-scale-and-local	88.36
ad-corre-adaptive-correlation-based-loss-for	86.96
norface-improving-facial-expression-analysis	92.97
joint-training-on-multiple-datasets-with	92.24
learn-from-all-erasing-attention-consistency	90.35
a-lightweight-model-enhancing-facial	91.07
pyramid-with-super-resolution-for-in-the-wild	88.98
a-dual-direction-attention-mixed-feature	91.35
facial-expression-recognition-using-vanilla	87.22
generating-faces-for-affect-analysis	-
qcs-feature-refining-from-quadruplet-cross	93.02
mixaugment-mixup-augmentation-methods-for	87.54
resemotenet-bridging-accuracy-and-loss	94.76
distribution-matching-for-multi-task-learning	-
a-dual-branch-adaptive-distribution-fusion	90.04