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Facial Attribute Classification

Facial attribute classification is the task of classifying various attributes of a facial image - e.g. whether someone has a beard, is wearing a hat, and so on.

( Image credit: Multi-task Learning of Cascaded CNN for Facial Attribute Classification )

Papers

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Showing 1–25 of 37 papers

TitleStatusHype
FaceXFormer: A Unified Transformer for Facial AnalysisCode3
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender EstimationCode3
MiVOLO: Multi-input Transformer for Age and Gender EstimationCode2
MARLIN: Masked Autoencoder for facial video Representation LearnINgCode2
Distributionally Generative Augmentation for Fair Facial Attribute ClassificationCode1
Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition SystemsCode1
Discover and Mitigate Unknown Biases with Debiasing Alternate NetworksCode1
Label2Label: A Language Modeling Framework for Multi-Attribute LearningCode1
Fair Contrastive Learning for Facial Attribute ClassificationCode1
Learning from Failure: Training Debiased Classifier from Biased ClassifierCode1
FairFace: Face Attribute Dataset for Balanced Race, Gender, and AgeCode1
Deep Learning Face Attributes in the WildCode1
Impact of Face Alignment on Face Image Quality—0
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention—0
FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained FeaturesCode0
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification—0
Leveraging vision-language models for fair facial attribute classification—0
Fair Multi-Exit Framework for Facial Attribute Classification—0
Consistency and Accuracy of CelebA Attribute ValuesCode0
Training Debiased Subnetworks with Contrastive Weight PruningCode0
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification—0
Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups—0
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation—0
Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data—0
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification—0
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