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Facial Expression Recognition

Papers

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Showing 201–250 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
Unsupervised Facial Expression Representation Learning with Contrastive Local WarpingCode0
EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at ABAW-5 competition—0
Human Reaction Intensity Estimation with Ensemble of Multi-task Networks—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
Facial Expression Recognition using Squeeze and Excitation-powered Swin Transformers—0
Rethinking the Learning Paradigm for Dynamic Facial Expression RecognitionCode0
ReactioNet: Learning High-Order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning—0
Combating Uncertainty and Class Imbalance in Facial Expression Recognition—0
Uncertain Facial Expression Recognition via Multi-task Assisted Correction—0
More comprehensive facial inversion for more effective expression recognitionCode0
AU-Aware Vision Transformers for Biased Facial Expression Recognition—0
Face Emotion Recognization Using Dataset Augmentation Based on Neural Network—0
Learning Diversified Feature Representations for Facial Expression Recognition in the WildCode0
Gender Stereotyping Impact in Facial Expression Recognition—0
Self-Paced Label Distribution Learning for In-The-Wild Facial Expression Recognition—0
Rethinking the Learning Paradigm for Facial Expression Recognition—0
On Developing Facial Stress Analysis and Expression Recognition Platform—0
FaceTopoNet: Facial Expression Recognition using Face Topology Learning—0
Dynamic Adaptive Threshold based Learning for Noisy Annotations Robust Facial Expression RecognitionCode0
Disentangling Identity and Pose for Facial Expression Recognition—0
Facial Expression Recognition and Image Description Generation in Vietnamese—0
CIAO! A Contrastive Adaptation Mechanism for Non-Universal Facial Expression Recognition—0
MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild—0
Mid-level Representation Enhancement and Graph Embedded Uncertainty Suppressing for Facial Expression RecognitionCode0
Adaptive Graph-Based Feature Normalization for Facial Expression Recognition—0
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers—0
Affective Behavior Analysis using Action Unit Relation Graph and Multi-task Cross Attention—0
AU-Supervised Convolutional Vision Transformers for Synthetic Facial Expression RecognitionCode0
Hand-Assisted Expression Recognition Method from Synthetic Images at the Fourth ABAW Challenge—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