Facial Expression Recognition On Affectnet

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Accuracy (8 emotion)

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Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

		Paper Title
Norface	68.69	Norface: Improving Facial Expression Analysis by Identity Normalization
DDAMFN++	65.04	A Dual-Direction Attention Mixed Feature Network for Facial Expression Recognition
FMAE	65.00	Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
QCS	64.4	QCS: Feature Refining from Quadruplet Cross Similarity for Facial Expression Recognition
BTN	64.29	Batch Transformer: Look for Attention in Batch
DDAMFN	64.25	A Dual-Direction Attention Mixed Feature Network for Facial Expression Recognition
EmoNeXt	64.13	A novel deep learning approach for facial emotion recognition: application to detecting emotional responses in elderly individuals with Alzheimer’s disease
POSTER++	63.77	POSTER++: A simpler and stronger facial expression recognition network
LFNSB	63.12	A Lightweight Model Enhancing Facial Expression Recognition with Spatial Bias and Cosine-Harmony Loss
S2D	63.06	From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos
Multi-task EfficientNet-B2	63.03	Classifying emotions and engagement in online learning based on a single facial expression recognition neural network
MT-ArcRes	63	Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace
Vit-base + MAE	62.42	Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers
CAGE	62.2	CAGE: Circumplex Affect Guided Expression Inference
DAN	62.09	Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition
SL + SSL in-panting-pl (B0)	61.72	Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation
Distilled student	61.60	Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition
SL + SSL puzzling (B2)	61.32	Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation
Multi-task EfficientNet-B0	61.32	Facial expression and attributes recognition based on multi-task learning of lightweight neural networks
SL + SSL puzzling (B0)	61.09	Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation

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Facial Expression Recognition On Affectnet

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