Cross-Domain Facial Expression Recognition
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Benchmarks
Most implemented
Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition
Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition
Papers
Graph-Attention Network with Adversarial Domain Alignment for Robust Cross-Domain Facial Expression Recognition
Cross-domain facial expression recognition (CD-FER) remains difficult due to severe domain shift between training and deployment data. We propose Graph-Attention Network with Adversarial Domain Alignment (GAT-ADA), a hyb…
Cross-Domain Facial Expression RecognitionUnsupervised Domain AdaptationAdaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition
Domain shift poses a significant challenge in Cross-Domain Facial Expression Recognition (CD-FER) due to the distribution variation across different domains. Current works mainly focus on learning domain-invariant featur…
Cross-Domain Facial Expression RecognitionFacial Expression RecognitionModel OptimizationPseudo Label+1Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition
Automatically understanding emotions from visual data is a fundamental task for human behaviour understanding. While models devised for Facial Expression Recognition (FER) have demonstrated excellent performances on many…
Cross-Domain Facial Expression RecognitionDomain AdaptationFacial Expression RecognitionFacial Expression Recognition (FER)+2Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning
To address the problem of data inconsistencies among different facial expression recognition (FER) datasets, many cross-domain FER methods (CD-FERs) have been extensively devised in recent years. Although each declares t…
Cross-Domain Facial Expression RecognitionDomain AdaptationFacial Expression RecognitionFacial Expression Recognition (FER)+2Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition
Data inconsistency and bias are inevitable among different facial expression recognition (FER) datasets due to subjective annotating process and different collecting conditions. Recent works resort to adversarial mechani…
Cross-Domain Facial Expression RecognitionFacial Expression RecognitionFacial Expression Recognition (FER)