SOTAVerified

Facial Expression Recognition

Papers

Showing 5160 of 532 papers

TitleStatusHype
ABANet: Attention boundary-aware network for image segmentationCode1
Distract Your Attention: Multi-head Cross Attention Network for Facial Expression RecognitionCode1
BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded GradientCode1
Local Multi-Head Channel Self-Attention for Facial Expression RecognitionCode1
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural NetworksCode1
A Survey on Facial Expression Recognition of Static and Dynamic EmotionsCode1
Face2Exp: Combating Data Biases for Facial Expression RecognitionCode1
EmoCLIP: A Vision-Language Method for Zero-Shot Video Facial Expression RecognitionCode1
EmoNeXt: an Adapted ConvNeXt for Facial Emotion RecognitionCode1
Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for Occluded Facial Expression RecognitionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VGGAccuracy72.7Unverified
2Res-NetAccuracy72.4Unverified
3InceptionAccuracy71.6Unverified
#ModelMetricClaimedVerifiedStatus
1ARBExAccuracy72.48Unverified
#ModelMetricClaimedVerifiedStatus
1ConCluGenWeighted Accuracy66.48Unverified
#ModelMetricClaimedVerifiedStatus
1ARBExAccuracy93.09Unverified
#ModelMetricClaimedVerifiedStatus
1ConCluGenWeighted Accuracy60.03Unverified
#ModelMetricClaimedVerifiedStatus
1ARBExOverall Accuracy92.47Unverified