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 251300 of 492 papers

TitleStatusHype
Optical Flow Techniques for Facial Expression Analysis -- a Practical Evaluation Study0
Efficient architecture for deep neural networks with heterogeneous sensitivity0
Pairwise Conditional Random Forests for Facial Expression Recognition0
Peak-Piloted Deep Network for Facial Expression Recognition0
Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition0
Pose-adaptive Hierarchical Attention Network for Facial Expression Recognition0
Pose-aware Adversarial Domain Adaptation for Personalized Facial Expression Recognition0
Pre-Trained Convolutional Neural Network Features for Facial Expression Recognition0
Privileged Attribution Constrained Deep Networks for Facial Expression Recognition0
Probabilistic Attribute Tree in Convolutional Neural Networks for Facial Expression Recognition0
QUEST: Quadriletral Senary bit Pattern for Facial Expression Recognition0
RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations0
Rank-O-ToM: Unlocking Emotional Nuance Ranking to Enhance Affective Theory-of-Mind0
Real Time Emotion Analysis Using Deep Learning for Education, Entertainment, and Beyond0
Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators0
Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks0
Recognition of facial expressions based on salient geometric features and support vector machines0
Recognizing Facial Expressions in the Wild using Multi-Architectural Representations based Ensemble Learning with Distillation0
Recognizing Facial Expressions of Occluded Faces using Convolutional Neural Networks0
Regional Attention Network (RAN) for Head Pose and Fine-grained Gesture Recognition0
Region Based Extensive Response Index Pattern for Facial Expression Recognition0
Regularized Sparse Gaussian Processes0
Research on facial expression recognition based on Multimodal data fusion and neural network0
Convolutional Neural Network for emotion recognition to assist psychiatrists and psychologists during the COVID-19 pandemic: experts opinion0
Responsible AI: Gender bias assessment in emotion recognition0
Rethinking the Learning Paradigm for Facial Expression Recognition0
Revisiting Few-Shot Learning for Facial Expression Recognition0
Robust Facial Expression Classification Using Shape and Appearance Features0
Facial Expression Recognition with Visual Transformers and Attentional Selective Fusion0
Robust facial expression recognition with global‑local joint representation learning0
SDAFE: A Dual-filter Stable Diffusion Data Augmentation Method for Facial Expression Recognition0
Self-Paced Label Distribution Learning for In-The-Wild Facial Expression Recognition0
Self-supervised Contrastive Learning of Multi-view Facial Expressions0
Semantic Neighborhood-Aware Deep Facial Expression Recognition0
SenTion: A framework for Sensing Facial Expressions0
Side Information in Robust Principal Component Analysis: Algorithms and Applications0
Smile upon the Face but Sadness in the Eyes: Emotion Recognition based on Facial Expressions and Eye Behaviors0
Soft Locality Preserving Map (SLPM) for Facial Expression Recognition0
Towards Reading Beyond Faces for Sparsity-Aware 4D Affect Recognition0
Spatiotemporal Contrastive Learning of Facial Expressions in Videos0
Spatio-Temporal Facial Expression Recognition Using Convolutional Neural Networks and Conditional Random Fields0
Spatio-Temporal Transformer for Dynamic Facial Expression Recognition in the Wild0
Spiking-Fer: Spiking Neural Network for Facial Expression Recognition With Event Cameras0
Spontaneous Facial Expression Recognition using Sparse Representation0
STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition0
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images0
Supervised Dictionary Learning by a Variational Bayesian Group Sparse Nonnegative Matrix Factorization0
Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-related Applications0
Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion0
Teacher-Student Training and Triplet Loss to Reduce the Effect of Drastic Face Occlusion0
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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