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 351400 of 492 papers

TitleStatusHype
Open Compound Domain Adaptation0
A Fine-Grained Facial Expression Database for End-to-End Multi-Pose Facial Expression Recognition0
Micro-expression Action Unit Detection with Spatio-temporal Adaptive Pooling0
Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild0
Frame attention networks for facial expression recognition in videosCode0
Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong LearningCode1
Memory Integrity of CNNs for Cross-Dataset Facial Expression Recognition0
Impact of facial landmark localization on facial expression recognition0
Pose-adaptive Hierarchical Attention Network for Facial Expression Recognition0
Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionCode0
Automatic 4D Facial Expression Recognition via Collaborative Cross-domain Dynamic Image Network0
Learn to synthesize and synthesize to learnCode0
A Deeper Look at Facial Expression Dataset Bias0
Optical Flow Techniques for Facial Expression Analysis -- a Practical Evaluation Study0
Facial Expression Recognition Research Based on Deep LearningCode0
LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences0
EXPERTNet Exigent Features Preservative Network for Facial Expression Recognition0
Evaluation of the Spatio-Temporal features and GAN for Micro-expression Recognition System0
Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural NetworksCode0
Identity-Free Facial Expression Recognition using conditional Generative Adversarial Network0
Bounded Residual Gradient Networks (BReG-Net) for Facial Affect Computing0
FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks0
Facial Motion Prior Networks for Facial Expression RecognitionCode0
FERAtt: Facial Expression Recognition with Attention NetCode0
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional NetworkCode0
Probabilistic Attribute Tree in Convolutional Neural Networks for Facial Expression Recognition0
Pre-Trained Convolutional Neural Network Features for Facial Expression Recognition0
Identity-Enhanced Network for Facial Expression Recognition0
Facial Expression Recognition using Facial Landmark Detection and Feature Extraction via Neural Networks0
A novel database of Children's Spontaneous Facial Expressions (LIRIS-CSE)0
Cross-database non-frontal facial expression recognition based on transductive deep transfer learning0
A Compact Embedding for Facial Expression SimilarityCode0
Region Based Extensive Response Index Pattern for Facial Expression Recognition0
Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition0
Automated Pain Detection from Facial Expressions using FACS: A Review0
Visual Saliency Maps Can Apply to Facial Expression Recognition0
Deep Neural Network Augmentation: Generating Faces for Affect Analysis0
In-the-wild Facial Expression Recognition in Extreme Poses0
Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories0
Alzheimer's Disease Diagnosis Based on Cognitive Methods in Virtual Environments and Emotions Analysis0
Coherence Constraints in Facial Expression Recognition0
Efficient architecture for deep neural networks with heterogeneous sensitivity0
Spontaneous Facial Expression Recognition using Sparse Representation0
Facial Expression Recognition with Inconsistently Annotated Datasets0
Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States0
Emotion Recognition in Speech using Cross-Modal Transfer in the Wild0
Automatic Recognition of Student Engagement using Deep Learning and Facial ExpressionCode0
CAKE: Compact and Accurate K-dimensional representation of Emotion0
QUEST: Quadriletral Senary bit Pattern for Facial Expression Recognition0
Transfer Learning for Action Unit 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