SOTAVerified

Facial Expression Recognition

Papers

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Showing 51–100 of 532 papers

TitleStatusHype
Complete Face Recovery GAN: Unsupervised Joint Face Rotation and De-Occlusion From a Single-View ImageCode1
Face2Exp: Combating Data Biases for Facial Expression RecognitionCode1
Relative Uncertainty Learning for Facial Expression RecognitionCode1
Local Multi-Head Channel Self-Attention for Facial Expression RecognitionCode1
Distract Your Attention: Multi-head Cross Attention Network for Facial Expression RecognitionCode1
Learning Facial Representations from the Cycle-consistency of FaceCode1
Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy AnnotationsCode1
Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the WildCode1
Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty EstimationCode1
Exploiting Emotional Dependencies with Graph Convolutional Networks for Facial Expression RecognitionCode1
Facial Expression Recognition using Residual Masking NetworkCode1
Facial Expression Recognition in the Wild via Deep Attentive Center LossCode1
AU-Expression Knowledge Constrained Representation Learning for Facial Expression RecognitionCode1
Affect Expression Behaviour Analysis in the Wild using Spatio-Channel Attention and Complementary Context InformationCode1
Graph Convolution with Low-rank Learnable Local FiltersCode1
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph LearningCode1
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression RecognitionCode1
Landmark Guidance Independent Spatio-channel Attention and Complementary Context Information based Facial Expression RecognitionCode1
Pyramid With Super Resolution for In-the-Wild Facial Expression RecognitionCode1
DeepFaceFlow: In-the-wild Dense 3D Facial Motion EstimationCode1
Real-time Facial Expression Recognition "In The Wild'' by Disentangling 3D Expression from IdentityCode1
BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded GradientCode1
The FaceChannel: A Light-weight Deep Neural Network for Facial Expression RecognitionCode1
Facial Expression Recognition with Deep LearningCode1
Suppressing Uncertainties for Large-Scale Facial Expression RecognitionCode1
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural NetworksCode1
Deep Facial Expression Recognition: A SurveyCode1
Facial Expression Recognition using Convolutional Neural Networks: State of the ArtCode1
Challenges in Representation Learning: A report on three machine learning contestsCode1
Multimodal Prompt Alignment for Facial Expression Recognition—0
Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation—0
Using Vision Language Models to Detect Students' Academic Emotion through Facial Expressions—0
TKFNet: Learning Texture Key Factor Driven Feature for Facial Expression Recognition—0
Unsupervised Multiview Contrastive Language-Image Joint Learning with Pseudo-Labeled Prompts Via Vision-Language Model for 3D/4D Facial Expression Recognition—0
Achieving 3D Attention via Triplet Squeeze and Excitation Block—0
Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness—0
Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning—0
SDAFE: A Dual-filter Stable Diffusion Data Augmentation Method for Facial Expression Recognition—0
FIESTA: Fisher Information-based Efficient Selective Test-time Adaptation—0
Evaluating Facial Expression Recognition Datasets for Deep Learning: A Benchmark Study with Novel Similarity Metrics—0
Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target DataCode0
SIT-FER: Integration of Semantic-, Instance-, Text-level Information for Semi-supervised Facial Expression RecognitionCode0
PE-CLIP: A Parameter-Efficient Fine-Tuning of Vision Language Models for Dynamic Facial Expression RecognitionCode0
V-NAW: Video-based Noise-aware Adaptive Weighting for Facial Expression RecognitionCode0
Design of an Expression Recognition Solution Employing the Global Channel-Spatial Attention Mechanism—0
HSEmotion Team at ABAW-8 Competition: Audiovisual Ambivalence/Hesitancy, Emotional Mimicry Intensity and Facial Expression Recognition—0
Biased Heritage: How Datasets Shape Models in Facial Expression RecognitionCode0
FRU-Adapter: Frame Recalibration Unit Adapter for Dynamic Facial Expression RecognitionCode0
MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition—0
Rank-O-ToM: Unlocking Emotional Nuance Ranking to Enhance Affective Theory-of-Mind—0
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All datasetsFER2013Aff-Wild2CMU-MOSEIFER+MELDRAF-DB

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VGGAccuracy72.7—Unverified
2Res-NetAccuracy72.4—Unverified
3InceptionAccuracy71.6—Unverified
#ModelMetricClaimedVerifiedStatus
1ARBExAccuracy72.48—Unverified
#ModelMetricClaimedVerifiedStatus
1ConCluGenWeighted Accuracy66.48—Unverified
#ModelMetricClaimedVerifiedStatus
1ARBExAccuracy93.09—Unverified
#ModelMetricClaimedVerifiedStatus
1ConCluGenWeighted Accuracy60.03—Unverified
#ModelMetricClaimedVerifiedStatus
1ARBExOverall Accuracy92.47—Unverified