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Facial Expression Recognition

Papers

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Showing 1–50 of 532 papers

TitleStatusHype
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
EfficientFER: EfficientNetv2 Based Deep Learning Approach for Facial Expression RecognitionCode1
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
MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition—0
FRU-Adapter: Frame Recalibration Unit Adapter for Dynamic Facial Expression RecognitionCode0
Rank-O-ToM: Unlocking Emotional Nuance Ranking to Enhance Affective Theory-of-Mind—0
Robust Dynamic Facial Expression RecognitionCode2
Fréchet Cumulative Covariance Net for Deep Nonlinear Sufficient Dimension Reduction with Random Objects—0
Faces of Fairness: Examining Bias in Facial Expression Recognition Datasets and ModelsCode0
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