SOTAVerified

Facial Expression Recognition

Papers

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Showing 26–50 of 532 papers

TitleStatusHype
Navigating Label Ambiguity for Facial Expression Recognition in the WildCode0
Interpretable Concept-based Deep Learning Framework for Multimodal Human Behavior Modeling—0
Experimenting with Affective Computing Models in Video Interviews with Spanish-speaking Older Adults—0
EmoNeXt: an Adapted ConvNeXt for Facial Emotion RecognitionCode1
Multi-face emotion detection for effective Human-Robot Interaction—0
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression RecognitionCode0
D2SP: Dynamic Dual-Stage Purification Framework for Dual Noise Mitigation in Vision-based Affective Recognition.—0
MTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression RecognitionCode0
Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the WildCode0
Impact of Face Alignment on Face Image Quality—0
Unimodal and Multimodal Static Facial Expression Recognition for Virtual Reality Users with EmoHeVRDBCode0
EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion UnderstandingCode1
Swin Transformer with Enhanced Dropout and Layer-wise Unfreezing for Facial Expression Recognition in Mental Health DetectionCode1
Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation—0
Semantic Data Augmentation for Long-tailed Facial Expression Recognition—0
Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression RecognitionCode0
FERT: Real-Time Facial Expression Recognition with Short-Range FMCW Radar—0
A survey on Graph Deep Representation Learning for Facial Expression Recognition—0
Smile upon the Face but Sadness in the Eyes: Emotion Recognition based on Facial Expressions and Eye Behaviors—0
QCS: Feature Refining from Quadruplet Cross Similarity for Facial Expression RecognitionCode1
AffectNet+: A Database for Enhancing Facial Expression Recognition with Soft-Labels—0
Balancing the Scales: Enhancing Fairness in Facial Expression Recognition with Latent Alignment—0
Bridging the Gaps: Utilizing Unlabeled Face Recognition Datasets to Boost Semi-Supervised Facial Expression RecognitionCode0
GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution—0
Regularized Xception for facial expression recognition with extra training data and step decay learning rateCode0
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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