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SOTA
얼굴 표현 인식
Facial Expression Recognition On Affectnet
Facial Expression Recognition On Affectnet
평가 지표
Accuracy (8 emotion)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
Accuracy (8 emotion)
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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