SOTAVerified

Facial Expression Recognition

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–325 of 532 papers

TitleStatusHype
THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild—0
TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition—0
TKFNet: Learning Texture Key Factor Driven Feature for Facial Expression Recognition—0
Toward Fair Facial Expression Recognition with Improved Distribution Alignment—0
Towards a General Deep Feature Extractor for Facial Expression Recognition—0
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels—0
Towards Fair Affective Robotics: Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition—0
Towards Realistic Landmark-Guided Facial Video Inpainting Based on GANs—0
Transfer Learning for Action Unit Recognition—0
TransFER: Learning Relation-aware Facial Expression Representations with Transformers—0
Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild—0
Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios—0
Uncertain Facial Expression Recognition via Multi-task Assisted Correction—0
Uncertain Label Correction via Auxiliary Action Unit Graphs for Facial Expression Recognition—0
Understanding and Mitigating Annotation Bias in Facial Expression Recognition—0
Unsupervised Multiview Contrastive Language-Image Joint Learning with Pseudo-Labeled Prompts Via Vision-Language Model for 3D/4D Facial Expression Recognition—0
Using Deep Autoencoders for Facial Expression Recognition—0
Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition—0
Using Vision Language Models to Detect Students' Academic Emotion through Facial Expressions—0
Variable-state Latent Conditional Random Fields for Facial Expression Recognition and Action Unit Detection—0
Verifying Deep Learning-based Decisions for Facial Expression Recognition—0
VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition—0
Video-Based Facial Expression Recognition Using Local Directional Binary Pattern—0
Video-based Facial Expression Recognition using Graph Convolutional Networks—0
Video-Based Frame-Level Facial Analysis of Affective Behavior on Mobile Devices Using EfficientNets—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