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Facial Expression Recognition

Papers

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Showing 176–200 of 532 papers

TitleStatusHype
Adaptively learning facial expression representation via cf labels and distillation.—0
Critically examining the Domain Generalizability of Facial Expression Recognition models—0
Deep Evolution for Facial Emotion Recognition—0
A survey on Graph Deep Representation Learning for Facial Expression Recognition—0
Deep Covariance Descriptors for Facial Expression Recognition—0
Deep Convolution Network Based Emotion Analysis for Automatic Detection of Mild Cognitive Impairment in the Elderly—0
Deep Convolutional Neural Networks for Smile Recognition—0
A Survey of the Trends in Facial and Expression Recognition Databases and Methods—0
AffectNet+: A Database for Enhancing Facial Expression Recognition with Soft-Labels—0
Adaptive Graph-Based Feature Normalization for Facial Expression Recognition—0
ABAW : Facial Expression Recognition in the wild—0
Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition—0
Decoding Emotions: Unveiling Facial Expressions through Acoustic Sensing with Contrastive Attention—0
A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition—0
D2SP: Dynamic Dual-Stage Purification Framework for Dual Noise Mitigation in Vision-based Affective Recognition.—0
Cross-Task Multi-Branch Vision Transformer for Facial Expression and Mask Wearing Classification—0
A Study of Local Binary Pattern Method for Facial Expression Detection—0
Cross-database non-frontal facial expression recognition based on transductive deep transfer learning—0
Cross-Centroid Ripple Pattern for Facial Expression Recognition—0
Convolution with Logarithmic Filter Groups for Efficient Shallow CNN—0
Assessing Gender Bias in Predictive Algorithms using eXplainable AI—0
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition—0
Contrastive Learning of View-Invariant Representations for Facial Expressions Recognition—0
Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks—0
Continuous Emotion Recognition via Deep Convolutional Autoencoder and Support Vector Regressor—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