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 201250 of 492 papers

TitleStatusHype
MFEViT: A Robust Lightweight Transformer-based Network for Multimodal 2D+3D Facial Expression Recognition0
Expression Snippet Transformer for Robust Video-based Facial Expression Recognition0
Generating Dataset For Large-scale 3D Facial Emotion Recognition0
Distract Your Attention: Multi-head Cross Attention Network for Facial Expression RecognitionCode1
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors0
TransFER: Learning Relation-aware Facial Expression Representations with Transformers0
Facial expression recognition with grid-wise attention and visual transformerCode0
Understanding and Mitigating Annotation Bias in Facial Expression Recognition0
Self-supervised Contrastive Learning of Multi-view Facial Expressions0
Learning Facial Representations from the Cycle-consistency of FaceCode1
Spatiotemporal Contrastive Learning of Facial Expressions in Videos0
Label Distribution Amendment with Emotional Semantic Correlations for Facial Expression Recognition0
Spatial and Temporal Networks for Facial Expression Recognition in the Wild VideosCode0
Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy AnnotationsCode1
Affect Expression Behaviour Analysis in the Wild using Consensual Collaborative TrainingCode0
Causal affect prediction model using a facial image sequenceCode0
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition0
Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the WildCode1
Recognizing Facial Expressions in the Wild using Multi-Architectural Representations based Ensemble Learning with Distillation0
Critically examining the Domain Generalizability of Facial Expression Recognition models0
Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty EstimationCode1
MVT: Mask Vision Transformer for Facial Expression Recognition in the wild0
Exploiting Emotional Dependencies with Graph Convolutional Networks for Facial Expression RecognitionCode1
Domain Adaptation for Facial Expression Classifier via Domain Discrimination and Gradient Reversal0
An optimized Capsule-LSTM model for facial expression recognition with video sequences0
Robust Lightweight Facial Expression Recognition Network with Label Distribution TrainingCode1
Meta Auxiliary Learning for Facial Action Unit Detection0
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation0
Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition0
Facial Emotion Recognition: State of the Art Performance on FER2013Code1
CASIA-Face-Africa: A Large-scale African Face Image Database0
Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study0
MAFER: a Multi-resolution Approach to Facial Expression RecognitionCode0
Facial Expression Recognition using Residual Masking NetworkCode1
Magnifying Subtle Facial Motions for Effective 4D Expression Recognition0
Facial Emotion Recognition Using Transfer Learning in the Deep CNNCode1
Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images0
I Only Have Eyes for You: The Impact of Masks On Convolutional-Based Facial Expression Recognition0
Do Deep Neural Networks Forget Facial Action Units? -- Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition0
Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition0
On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study0
Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression RecognitionCode0
Explore Image Deblurring via Blur Kernel SpaceCode1
Facial expression and attributes recognition based on multi-task learning of lightweight neural networksCode0
Facial Expression Recognition with Visual Transformers and Attentional Selective Fusion0
Pre-training strategies and datasets for facial representation learningCode1
Imponderous Net for Facial Expression Recognition in the Wild0
Convolutional Neural Network Hyperparameters optimization for Facial Emotion RecognitionCode0
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition0
A Sub-Layered Hierarchical Pyramidal Neural Architecture for 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
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