Facial Attribute Classification
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Benchmarks
Most implemented
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
FaceXFormer: A Unified Transformer for Facial Analysis
MiVOLO: Multi-input Transformer for Age and Gender Estimation
Learning from Failure: Training Debiased Classifier from Biased Classifier
Deep Learning Face Attributes in the Wild
Papers
DiffInf: Influence-Guided Diffusion for Supervision Alignment in Facial Attribute Learning
Facial attribute classification relies on large-scale annotated datasets in which many traits, such as age and expression, are inherently ambiguous and continuous but are discretized into categorical labels. Annotation i…
Facial Attribute ClassificationRepresentation LearningIncorporating Interventional Independence Improves Robustness against Interventional Distribution Shift
We study the problem of learning robust discriminative representations of causally related latent variables given the underlying causal graph and a training set comprising passively collected observational data and inter…
Facial Attribute ClassificationImpact of Face Alignment on Face Image Quality
Face alignment is a crucial step in preparing face images for feature extraction in facial analysis tasks. For applications such as face recognition, facial expression recognition, and facial attribute classification, al…
AttributeFace AlignmentFace DetectionFace Image Quality+5Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention
Ensuring that AI-based facial recognition systems produce fair predictions and work equally well across all demographic groups is crucial. Earlier systems often exhibited demographic bias, particularly in gender and raci…
AttributeClassificationComputational EfficiencyDiversity+4FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features
Published research highlights the presence of demographic bias in automated facial attribute classification algorithms, particularly impacting women and individuals with darker skin tones. Existing bias mitigation techni…
AttributeClassificationFacial Attribute ClassificationFairnessA Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
Published research highlights the presence of demographic bias in automated facial attribute classification. The proposed bias mitigation techniques are mostly based on supervised learning, which requires a large amount …
AttributeContrastive LearningFacial Attribute ClassificationFairness+4