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Facial Expression Recognition

Papers

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Showing 251–275 of 532 papers

TitleStatusHype
Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition—0
Multi-face emotion detection for effective Human-Robot Interaction—0
Multi Loss-based Feature Fusion and Top Two Voting Ensemble Decision Strategy for Facial Expression Recognition in the Wild—0
Multimodal Engagement Analysis from Facial Videos in the Classroom—0
Multi Modal Facial Expression Recognition with Transformer-Based Fusion Networks and Dynamic Sampling—0
Multimodal Prompt Alignment for Facial Expression Recognition—0
Multi-Region Ensemble Convolutional Neural Network for Facial Expression Recognition—0
Affective Behavior Analysis using Action Unit Relation Graph and Multi-task Cross Attention—0
Multi-threshold Deep Metric Learning for Facial Expression Recognition—0
Music Recommendation Based on Facial Emotion Recognition—0
Mutual Information Regularized Identity-aware Facial ExpressionRecognition in Compressed Video—0
MVT: Mask Vision Transformer for Facial Expression Recognition in the wild—0
Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition—0
NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition—0
Objective Classes for Micro-Facial Expression Recognition—0
Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition—0
Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders—0
Omni-supervised Facial Expression Recognition via Distilled Data—0
On Developing Facial Stress Analysis and Expression Recognition Platform—0
On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study—0
Open-Set Facial Expression Recognition—0
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting—0
Optical Flow Techniques for Facial Expression Analysis -- a Practical Evaluation Study—0
Efficient architecture for deep neural networks with heterogeneous sensitivity—0
OUS: Scene-Guided Dynamic Facial Expression 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