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Facial Expression Recognition

Papers

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Showing 201–250 of 532 papers

TitleStatusHype
A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition—0
D2SP: Dynamic Dual-Stage Purification Framework for Dual Noise Mitigation in Vision-based Affective Recognition.—0
Facial Expression Recognition Using Human to Animated-Character Expression Translation—0
Cross-Task Multi-Branch Vision Transformer for Facial Expression and Mask Wearing Classification—0
A Study of Local Binary Pattern Method for Facial Expression Detection—0
Cross-database non-frontal facial expression recognition based on transductive deep transfer learning—0
Facial Expression Recognition using Deep Learning—0
Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator—0
Cross-Centroid Ripple Pattern for Facial Expression Recognition—0
Facial Expression Recognition Using Disentangled Adversarial Learning—0
Convolution with Logarithmic Filter Groups for Efficient Shallow CNN—0
Assessing Gender Bias in Predictive Algorithms using eXplainable AI—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
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition—0
Facial Expression Recognition on a Quantum Computer—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
Contrastive Learning of View-Invariant Representations for Facial Expressions Recognition—0
Facial Expression Recognition in the Wild using Rich Deep Features—0
Facial Expression Recognition with Swin Transformer—0
Facial Expression Representation Learning by Synthesizing Expression Images—0
Facial Expression Recognition from World Wild Web—0
Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks—0
Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition—0
Feature Super-Resolution Based Facial Expression Recognition for Multi-scale Low-Resolution Faces—0
Facial Expression Recognition by De-Expression Residue Learning—0
Facial Expression Recognition based on Multi-head Cross Attention Network—0
Continuous Emotion Recognition via Deep Convolutional Autoencoder and Support Vector Regressor—0
FER-former: Multi-modal Transformer for Facial Expression Recognition—0
Facial expression recognition based on local region specific features and support vector machines—0
Facial Expression Recognition Based on Complexity Perception Classification Algorithm—0
Continual Facial Expression Recognition: A Benchmark—0
A Recursive Framework for Expression Recognition: From Web Images to Deep Models to Game Dataset—0
FIESTA: Fisher Information-based Efficient Selective Test-time Adaptation—0
FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs—0
Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU—0
Facial Expression Recognition and Image Description Generation in Vietnamese—0
Facial Emotion Recognition using Convolutional Neural Networks—0
Facial Expression Recognition using Squeeze and Excitation-powered Swin Transformers—0
From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Models—0
From Facial Expression Recognition to Interpersonal Relation Prediction—0
Constrained Deep Transfer Feature Learning and its Applications—0
Face Trees for Expression Recognition—0
FaceTopoNet: Facial Expression Recognition using Face Topology Learning—0
FaceMixup: Enhancing Facial Expression Recognition through Mixed Face Regularization—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