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Facial Expression Recognition

Papers

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Showing 376–400 of 532 papers

TitleStatusHype
LA-Net: Landmark-Aware Learning for Reliable Facial Expression Recognition under Label Noise—0
LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences—0
Learning Expressionlets on Spatio-Temporal Manifold for Dynamic Facial Expression Recognition—0
Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition—0
Learning from Synthetic Data: Facial Expression Classification based on Ensemble of Multi-task Networks—0
Learning Grimaces by Watching TV—0
Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning—0
Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition—0
Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition—0
Less can be more: representational vs. stereotypical gender bias in facial expression recognition—0
LLDif: Diffusion Models for Low-light Emotion Recognition—0
Local Binary Pattern(LBP) Optimization for Feature Extraction—0
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition—0
Local Shape Spectrum Analysis for 3D Facial Expression Recognition—0
Logistic Boosting Regression for Label Distribution Learning—0
LOGO-Former: Local-Global Spatio-Temporal Transformer for Dynamic Facial Expression Recognition—0
Lossless Attention in Convolutional Networks for Facial Expression Recognition in the Wild—0
LRDif: Diffusion Models for Under-Display Camera Emotion Recognition—0
MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild—0
Magnifying Subtle Facial Motions for Effective 4D Expression Recognition—0
Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis—0
MeciFace: Mechanomyography and Inertial Fusion-based Glasses for Edge Real-Time Recognition of Facial and Eating Activities—0
Memory Integrity of CNNs for Cross-Dataset Facial Expression Recognition—0
Meta Auxiliary Learning for Facial Action Unit Detection—0
Meta Transfer Learning for Emotion Recognition—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