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Facial Expression Recognition

Papers

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Showing 201–225 of 532 papers

TitleStatusHype
Facial Expression Recognition based on Multi-head Cross Attention Network—0
Facial Expression Recognition by De-Expression Residue Learning—0
Facial Expression Recognition from World Wild Web—0
Facial Expression Recognition in the Wild using Rich Deep Features—0
Dynamic Resolution Guidance for Facial Expression Recognition—0
Facial Expression Recognition on a Quantum Computer—0
Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests—0
Bounded Residual Gradient Networks (BReG-Net) for Facial Affect Computing—0
Boosting Facial Expression Recognition by A Semi-Supervised Progressive Teacher—0
Facial Expression Recognition Using Disentangled Adversarial Learning—0
Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator—0
Facial Expression Recognition using Deep Learning—0
Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural Networks—0
Facial Expression Recognition using Facial Landmark Detection and Feature Extraction via Neural Networks—0
Facial Expression Recognition Using Human to Animated-Character Expression Translation—0
Dynamic Model of Facial Expression Recognition based on Eigen-face Approach—0
Facial Expression Recognition Using Sparse Gaussian Conditional Random Field—0
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers—0
Facial Expression Recognition using Visual Saliency and Deep Learning—0
Facial Expression Recognition via a Boosted Deep Belief Network—0
Facial Expression Recognition with Inconsistently Annotated Datasets—0
Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation—0
All-In-One: Facial Expression Transfer, Editing and Recognition Using A Single Network—0
A Survey of the Trends in Facial and Expression Recognition Databases and Methods—0
FER-C: Benchmarking Out-of-Distribution Soft Calibration for 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