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Facial Expression Recognition

Papers

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Showing 176–200 of 532 papers

TitleStatusHype
MIMIC: Mask Image Pre-training with Mix Contrastive Fine-tuning for Facial Expression Recognition—0
Exploration of Adolescent Depression Risk Prediction Based on Census Surveys and General Life Issues—0
Mitigating Algorithmic Bias on Facial Expression Recognition—0
DSAP: Analyzing Bias Through Demographic Comparison of DatasetsCode0
FER-C: Benchmarking Out-of-Distribution Soft Calibration for Facial Expression Recognition—0
Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition—0
Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition—0
Subject-Based Domain Adaptation for Facial Expression RecognitionCode0
Contrastive Learning of View-Invariant Representations for Facial Expressions Recognition—0
Multi Loss-based Feature Fusion and Top Two Voting Ensemble Decision Strategy for Facial Expression Recognition in the Wild—0
Benchmarking Deep Facial Expression Recognition: An Extensive Protocol with Balanced Dataset in the Wild—0
Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition—0
Affective Video Content Analysis: Decade Review and New Perspectives—0
FerNeXt: Facial Expression Recognition Using ConvNeXt with Channel AttentionCode0
Can CNNs Accurately Classify Human Emotions? A Deep-Learning Facial Expression Recognition Study—0
ASM: Adaptive Sample Mining for In-The-Wild Facial Expression RecognitionCode0
InFER: A Multi-Ethnic Indian Facial Expression Recognition Dataset—0
A Generative Framework for Self-Supervised Facial Representation LearningCode0
Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic FeaturesCode0
LA-Net: Landmark-Aware Learning for Reliable Facial Expression Recognition under Label Noise—0
Active Learning with Contrastive Pre-training for Facial Expression RecognitionCode0
MeciFace: Mechanomyography and Inertial Fusion-based Glasses for Edge Real-Time Recognition of Facial and Eating Activities—0
Toward Fair Facial Expression Recognition with Improved Distribution Alignment—0
Exploring the Boundaries of Semi-Supervised Facial Expression Recognition using In-Distribution, Out-of-Distribution, and Unconstrained DataCode0
ReSup: Reliable Label Noise Suppression 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