SOTAVerified

Facial Expression Recognition (FER)

Facial Expression Recognition (FER) is a computer vision task aimed at identifying and categorizing emotional expressions depicted on a human face. The goal is to automate the process of determining emotions in real-time, by analyzing the various features of a face such as eyebrows, eyes, mouth, and other features, and mapping them to a set of emotions such as anger, fear, surprise, sadness and happiness.

( Image credit: DeXpression )

Papers

Showing 301350 of 492 papers

TitleStatusHype
Video-Based Facial Expression Recognition Using Local Directional Binary Pattern0
Video-based Facial Expression Recognition using Graph Convolutional Networks0
Video-Based Frame-Level Facial Analysis of Affective Behavior on Mobile Devices Using EfficientNets0
Vision Transformer Equipped with Neural Resizer on Facial Expression Recognition Task0
Visual Saliency Maps Can Apply to Facial Expression Recognition0
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors0
Impact of facial landmark localization on facial expression recognition0
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework0
Your "Attention" Deserves Attention: A Self-Diversified Multi-Channel Attention for Facial Action Analysis0
Fine-tuning of Convolutional Neural Networks for the Recognition of Facial Expressions in Sign Language Video Samples0
From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Models0
From Facial Expression Recognition to Interpersonal Relation Prediction0
Gender Stereotyping Impact in Facial Expression Recognition0
Generating Dataset For Large-scale 3D Facial Emotion Recognition0
Deep Neural Network Augmentation: Generating Faces for Affect Analysis0
Geometric Feature-Based Facial Expression Recognition in Image Sequences Using Multi-Class AdaBoost and Support Vector Machines0
Going Deeper in Facial Expression Recognition using Deep Neural Networks0
GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution0
Hand-Assisted Expression Recognition Method from Synthetic Images at the Fourth ABAW Challenge0
HEU Emotion: A Large-scale Database for Multi-modal Emotion Recognition in the Wild0
Human Emotional Facial Expression Recognition0
Human Expression Recognition using Facial Shape Based Fourier Descriptors Fusion0
Human Mood Detection For Human Computer Interaction0
Hybrid Facial Expression Recognition (FER2013) Model for Real-Time Emotion Classification and Prediction0
Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition0
Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a "Null" Model be?0
Identifying the Context Shift between Test Benchmarks and Production Data0
Identity-aware Facial Expression Recognition in Compressed Video0
Identity-Enhanced Network for Facial Expression Recognition0
Identity-Free Facial Expression Recognition using conditional Generative Adversarial Network0
Impact of Action Unit Occurrence Patterns on Detection0
Imponderous Net for Facial Expression Recognition in the Wild0
InFER: A Multi-Ethnic Indian Facial Expression Recognition Dataset0
In-the-wild Facial Expression Recognition in Extreme Poses0
Investigating Bias and Fairness in Facial Expression Recognition0
I Only Have Eyes for You: The Impact of Masks On Convolutional-Based Facial Expression Recognition0
Is human face processing a feature- or pattern-based task? Evidence using a unified computational method driven by eye movements0
Joint Deep Learning of Facial Expression Synthesis and Recognition0
Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition0
Joint Pose and Expression Modeling for Facial Expression Recognition0
Kernelized dense layers for facial expression recognition0
Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition0
Knowledge-Enhanced Facial Expression Recognition with Emotional-to-Neutral Transformation0
Label Distribution Amendment with Emotional Semantic Correlations for Facial Expression Recognition0
Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition0
Label quality in AffectNet: results of crowd-based re-annotation0
Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images0
Landmarks-assisted Collaborative Deep Framework for Automatic 4D Facial Expression Recognition0
LA-Net: Landmark-Aware Learning for Reliable Facial Expression Recognition under Label Noise0
LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ResEmoteNetAccuracy (7 emotion)72.93Unverified
2NorfaceAccuracy (8 emotion)68.69Unverified
3EmoAffectNetAccuracy (7 emotion)66.49Unverified
4Emotion-GCNAccuracy (7 emotion)66.46Unverified
5FaceBehaviorNetAccuracy (7 emotion)65.4Unverified
6Ada-DFAccuracy (7 emotion)65.34Unverified
7EACAccuracy (7 emotion)65.32Unverified
8PAENetAccuracy (7 emotion)65.29Unverified
9DACLAccuracy (7 emotion)65.2Unverified
10DDAMFN++Accuracy (8 emotion)65.04Unverified
#ModelMetricClaimedVerifiedStatus
1ResEmoteNetOverall Accuracy94.76Unverified
2FMAEOverall Accuracy93.45Unverified
3QCSOverall Accuracy93.02Unverified
4NorfaceOverall Accuracy92.97Unverified
5S2DOverall Accuracy92.57Unverified
6BTNOverall Accuracy92.54Unverified
7GReFELOverall Accuracy92.47Unverified
8DDAMFN++Overall Accuracy92.34Unverified
9DCJTOverall Accuracy92.24Unverified
10POSTER++Overall Accuracy92.21Unverified
#ModelMetricClaimedVerifiedStatus
1EfficientFERAccuracy82.47Unverified
2FERNeXt-SDAFEAccuracy81.33Unverified
3ResEmoteNetAccuracy79.79Unverified
4Ensemble ResMaskingNet with 6 other CNNsAccuracy76.82Unverified
5Mini-ResEmoteNet (A)Accuracy76.33Unverified
6EmoNeXtAccuracy76.12Unverified
7Segmentation VGG-19Accuracy75.97Unverified
8Local Learning Deep+BOWAccuracy75.42Unverified
9LHC-NetAccuracy74.42Unverified
10Residual Masking NetworkAccuracy74.14Unverified
#ModelMetricClaimedVerifiedStatus
1PAtt-LiteAccuracy95.55Unverified
2GReFELAccuracy93.09Unverified
3QCSAccuracy91.85Unverified
4ResNet18 Dense ArchitectureAccuracy91.41Unverified
5DDAMFNAccuracy90.74Unverified
6KTNAccuracy90.49Unverified
7Vit-base + MAEAccuracy90.18Unverified
8FER-VTAccuracy90.04Unverified
9EACAccuracy89.64Unverified
10LResNet50E-IRAccuracy89.26Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50Accuracy(on validation set)65.5Unverified
2LResNet50E-IR (5 models with augmentation)Accuracy(on validation set)65.5Unverified
3EACAccuracy(on validation set)65.32Unverified
4LResNet50E-IR (1 model with augmentation)Accuracy(on validation set)63.7Unverified
5LResNet50E-IR (1 model)Accuracy(on validation set)61.1Unverified
6Multi-task EfficientNet-B0Accuracy(on validation set)59.27Unverified
7resnet18_noisyAccuracy(on validation set)55.17Unverified
8resnet18Accuracy(on validation set)51.18Unverified
#ModelMetricClaimedVerifiedStatus
1EmoNeXtAccuracy (8 emotion)100Unverified
2PAtt-LiteAccuracy (7 emotion)100Unverified
3ViT + SEAccuracy (7 emotion)99.8Unverified
4FANAccuracy (7 emotion)99.7Unverified
5Nonlinear eval on SL + SSL puzzling (B0)Accuracy (7 emotion)98.23Unverified
6DeepEmotionAccuracy (7 emotion)98Unverified
7FN2ENAccuracy (8 emotion)96.8Unverified
#ModelMetricClaimedVerifiedStatus
1KTNAccuracy(pretrained)90.49Unverified
2RAN (VGG-16)Accuracy(pretrained)89.16Unverified
3SENet TeacherAccuracy(pretrained)88.88Unverified
4Local Learning Deep + BOWAccuracy(pretrained)87.76Unverified
#ModelMetricClaimedVerifiedStatus
1TLAccuracy99.52Unverified
2GReFELAccuracy96.67Unverified
3ViTAccuracy94.83Unverified
4DeepEmotionAccuracy92.8Unverified
#ModelMetricClaimedVerifiedStatus
1Ada-DFAccuracy60.46Unverified
2RAN (VGG16+ResNet18)Accuracy56.4Unverified
3ViT + SEAccuracy54.29Unverified
4Island LossAccuracy52.52Unverified
#ModelMetricClaimedVerifiedStatus
1GReFELAccuracy72.48Unverified
2EmoAffectNet LSTMUAR52.9Unverified
#ModelMetricClaimedVerifiedStatus
1NorfaceICC0.74Unverified
2Ours (VGG-F)ICC0.72Unverified
#ModelMetricClaimedVerifiedStatus
1NorfaceICC0.67Unverified
2Ours (VGG-F)ICC0.6Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEmotionAccuracy99.3Unverified
2GReFELAccuracy98.18Unverified
#ModelMetricClaimedVerifiedStatus
1DeXpressionAccuracy98.63Unverified
2Facial Motion Prior NetworkAccuracy82.74Unverified
#ModelMetricClaimedVerifiedStatus
1Dynamic MTLAccuracy (10-fold)89.6Unverified
2PPDNAccuracy (10-fold)84.59Unverified
#ModelMetricClaimedVerifiedStatus
1Covariance PoolingAccuracy87Unverified
2Multi Label OutputAccuracy79.26Unverified
#ModelMetricClaimedVerifiedStatus
1Covariance PoolingAccuracy58.14Unverified
2VGG-VD-16Accuracy54.82Unverified
#ModelMetricClaimedVerifiedStatus
1EfficientFaceAccuracy 85.87Unverified
#ModelMetricClaimedVerifiedStatus
1Sequential forward selectionAccuracy88.7Unverified
#ModelMetricClaimedVerifiedStatus
1EmoAffectNet LSTMUAR79Unverified
#ModelMetricClaimedVerifiedStatus
1ResEmoteNetAccuracy75.67Unverified
#ModelMetricClaimedVerifiedStatus
1ViT + SEAccuracy87.22Unverified
#ModelMetricClaimedVerifiedStatus
1EmoAffectNet LSTMUAR69.7Unverified
#ModelMetricClaimedVerifiedStatus
1EmoAffectNet LSTMUAR82.8Unverified