SOTAVerified

Facial Expression Recognition

Papers

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Showing 426–450 of 532 papers

TitleStatusHype
A novel database of Children's Spontaneous Facial Expressions (LIRIS-CSE)—0
Cross-database non-frontal facial expression recognition based on transductive deep transfer learning—0
Region Based Extensive Response Index Pattern for Facial Expression Recognition—0
Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition—0
Automated Pain Detection from Facial Expressions using FACS: A Review—0
Visual Saliency Maps Can Apply to Facial Expression Recognition—0
In-the-wild Facial Expression Recognition in Extreme Poses—0
Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories—0
Alzheimer's Disease Diagnosis Based on Cognitive Methods in Virtual Environments and Emotions Analysis—0
Coherence Constraints in Facial Expression Recognition—0
Efficient architecture for deep neural networks with heterogeneous sensitivity—0
Spontaneous Facial Expression Recognition using Sparse Representation—0
Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States—0
Facial Expression Recognition with Inconsistently Annotated Datasets—0
Automatic Recognition of Student Engagement using Deep Learning and Facial ExpressionCode0
QUEST: Quadriletral Senary bit Pattern for Facial Expression Recognition—0
Transfer Learning for Action Unit Recognition—0
Multi-Region Ensemble Convolutional Neural Network for Facial Expression Recognition—0
A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding—0
Expression Empowered ResiDen Network for Facial Action Unit Detection—0
Facial Expression Recognition by De-Expression Residue Learning—0
Joint Pose and Expression Modeling for Facial Expression Recognition—0
4DFAB: A Large Scale 4D Database for Facial Expression Analysis and Biometric Applications—0
Meta Transfer Learning for Facial Emotion Recognition—0
Covariance Pooling For Facial Expression RecognitionCode0
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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