SOTAVerified

Facial Expression Recognition

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 532 papers

TitleStatusHype
Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU—0
Continual Facial Expression Recognition: A Benchmark—0
LOGO-Former: Local-Global Spatio-Temporal Transformer for Dynamic Facial Expression Recognition—0
Class adaptive threshold and negative class guided noisy annotation robust Facial Expression Recognition—0
ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression LearningCode0
Spiking-Fer: Spiking Neural Network for Facial Expression Recognition With Event Cameras—0
Masked Student Dataset of ExpressionsCode0
Multi-Domain Norm-referenced Encoding Enables Data Efficient Transfer Learning of Facial Expression Recognition—0
Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior Understanding—0
Metrics for Dataset Demographic Bias: A Case Study on Facial Expression RecognitionCode0
How far generated data can impact Neural Networks performance?Code0
FER-former: Multi-modal Transformer for Facial Expression Recognition—0
Efficient Neural Architecture Search for Emotion Recognition—0
Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition—0
TempT: Temporal consistency for Test-time adaptation—0
ABAW : Facial Expression Recognition in the wild—0
Human Reaction Intensity Estimation with Ensemble of Multi-task Networks—0
Unsupervised Facial Expression Representation Learning with Contrastive Local WarpingCode0
EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at ABAW-5 competition—0
Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition—0
Multi Modal Facial Expression Recognition with Transformer-Based Fusion Networks and Dynamic Sampling—0
SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the WildCode0
Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition—0
CLIPER: A Unified Vision-Language Framework for In-the-Wild Facial Expression Recognition—0
Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios—0
Show:102550
← PrevPage 9 of 22Next →
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