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الرئيسية
SOTA
Facial Expression Recognition
Facial Expression Recognition On Affectnet
Facial Expression Recognition On Affectnet
المقاييس
Accuracy (8 emotion)
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Accuracy (8 emotion)
Paper Title
Repository
VGG-FACE
60.40
Deep Neural Network Augmentation: Generating Faces for Affect Analysis
-
PSR (VGG-16)
60.68
Pyramid With Super Resolution for In-the-Wild Facial Expression Recognition
EfficientFace
59.89
Robust Lightweight Facial Expression Recognition Network with Label Distribution Training
ResEmoteNet
-
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition
SL (B0)
60.34
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation
-
Vit-base + MAE
62.42
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers
-
FerNeXt
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FerNeXt: Facial Expression Recognition Using ConvNeXt with Channel Attention
CNNs and BOVW + local SVM
59.58
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition
-
Distilled student
61.60
Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition
-
LFNSB
63.12
A Lightweight Model Enhancing Facial Expression Recognition with Spatial Bias and Cosine-Harmony Loss
PAENet
-
Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning
Ad-Corre
-
Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild
-
Facial Motion Prior Network
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Facial Motion Prior Networks for Facial Expression Recognition
Ada-DF
-
A Dual-Branch Adaptive Distribution Fusion Framework for Real-World Facial Expression Recognition
POSTER++
63.77
POSTER++: A simpler and stronger facial expression recognition network
SL + SSL puzzling (B0)
61.09
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation
-
Ensemble with Shared Representations (ESR-9)
59.3
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks
S2D
63.06
From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos
EAC
-
Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition
QCS
64.4
QCS: Feature Refining from Quadruplet Cross Similarity for Facial Expression Recognition
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