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SOTA
面部表情识别 (FER)
Facial Expression Recognition On Raf Db
Facial Expression Recognition On Raf Db
评估指标
Overall Accuracy
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Overall Accuracy
Paper Title
Repository
ResEmoteNet
94.76
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition
FMAE
93.09
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
QCS
93.02
QCS: Feature Refining from Quadruplet Cross Similarity for Facial Expression Recognition
Norface
92.97
Norface: Improving Facial Expression Analysis by Identity Normalization
S2D
92.57
From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos
BTN
92.54
Batch Transformer: Look for Attention in Batch
-
GReFEL
92.47
GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution
-
DDAMFN++
92.34
A Dual-Direction Attention Mixed Feature Network for Facial Expression Recognition
-
DCJT
92.24
Joint Training on Multiple Datasets With Inconsistent Labeling Criteria for Facial Expression Recognition
-
POSTER++
92.21
POSTER++: A simpler and stronger facial expression recognition network
APViT
91.98
Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition
DDAMFN
91.35
A Dual-Direction Attention Mixed Feature Network for Facial Expression Recognition
-
ViT-base + MAE
91.07
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers
-
LFNSB
91.07
A Lightweight Model Enhancing Facial Expression Recognition with Spatial Bias and Cosine-Harmony Loss
-
EAC(ResNet-50)
90.35
Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition
Ada-DF
90.04
A Dual-Branch Adaptive Distribution Fusion Framework for Real-World Facial Expression Recognition
-
DAN
89.70
Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition
RUL (ResNet-18)
88.98
Relative Uncertainty Learning for Facial Expression Recognition
-
PSR
88.98
Pyramid With Super Resolution for In-the-Wild Facial Expression Recognition
-
FerNeXt
88.56
FerNeXt: Facial Expression Recognition Using ConvNeXt with Channel Attention
-
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