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 101150 of 492 papers

TitleStatusHype
A Study of Local Binary Pattern Method for Facial Expression Detection0
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition0
Expression Empowered ResiDen Network for Facial Action Unit Detection0
Expression Recognition by Using Facial and Vocal Expressions0
A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition0
Cross-Centroid Ripple Pattern for Facial Expression Recognition0
Cross-database non-frontal facial expression recognition based on transductive deep transfer learning0
Cross-Task Multi-Branch Vision Transformer for Facial Expression and Mask Wearing Classification0
Assessing Gender Bias in Predictive Algorithms using eXplainable AI0
Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition0
Contrastive Learning of View-Invariant Representations for Facial Expressions Recognition0
Deep Convolution Network Based Emotion Analysis for Automatic Detection of Mild Cognitive Impairment in the Elderly0
Deep Covariance Descriptors for Facial Expression Recognition0
Critically examining the Domain Generalizability of Facial Expression Recognition models0
Deep Evolution for Facial Emotion Recognition0
2D+3D facial expression recognition via embedded tensor manifold regularization0
Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks0
Continuous Emotion Recognition via Deep Convolutional Autoencoder and Support Vector Regressor0
Deep Learning For Smile Recognition0
Deep Metric Structured Learning For Facial Expression Recognition0
Deep Multi-Facial Patches Aggregation Network For Facial Expression Recognition0
Deep Multi-task Learning for Facial Expression Recognition and Synthesis Based on Selective Feature Sharing0
Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States0
Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition0
Deep Temporal Appearance-Geometry Network for Facial Expression Recognition0
Adaptive Graph-Based Feature Normalization for Facial Expression Recognition0
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace0
Continual Facial Expression Recognition: A Benchmark0
Constrained Deep Transfer Feature Learning and its Applications0
A Recursive Framework for Expression Recognition: From Web Images to Deep Models to Game Dataset0
Confidence-Weighted Local Expression Predictions for Occlusion Handling in Expression Recognition and Action Unit detection0
Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition0
Expression Analysis Based on Face Regions in Read-world Conditions0
Expression Snippet Transformer for Robust Video-based Facial Expression Recognition0
FaceMixup: Enhancing Facial Expression Recognition through Mixed Face Regularization0
Open Compound Domain Adaptation0
A Peek at Peak Emotion Recognition0
Comparing Facial Expression Recognition in Humans and Machines: Using CAM, GradCAM, and Extremal Perturbation0
AEGIS: A real-time multimodal augmented reality computer vision based system to assist facial expression recognition for individuals with autism spectrum disorder0
Combating Uncertainty and Class Imbalance in Facial Expression Recognition0
Coherence Constraints in Facial Expression Recognition0
A Novel Space-Time Representation on the Positive Semidefinite Cone for Facial Expression Recognition0
Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognition0
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection0
A Novel Space-Time Representation on the Positive Semidefinite Con for Facial Expression Recognition0
2D+3D Facial Expression Recognition via Discriminative Dynamic Range Enhancement and Multi-Scale Learning0
CLIPER: A Unified Vision-Language Framework for In-the-Wild Facial Expression Recognition0
Classifying emotions and engagement in online learning based on a single facial expression recognition neural network0
A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding0
Class adaptive threshold and negative class guided noisy annotation robust Facial Expression Recognition0
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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
1PAtt-LiteAccuracy (7 emotion)100Unverified
2EmoNeXtAccuracy (8 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