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Facial Expression Recognition On Ck

Metrics

Accuracy (7 emotion)

Results

Performance results of various models on this benchmark

Model Name
Accuracy (7 emotion)
Paper TitleRepository
ViT + SE99.8Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition-
FN2EN-FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition-
PAtt-Lite100.00PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition-
Nonlinear eval on SL + SSL puzzling (B0)98.23Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation-
FAN99.7Frame attention networks for facial expression recognition in videos
DeepEmotion98Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
EmoNeXt-A novel deep learning approach for facial emotion recognition: application to detecting emotional responses in elderly individuals with Alzheimer’s disease
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