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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
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender EstimationCode3
FaceXFormer: A Unified Transformer for Facial AnalysisCode3
MARLIN: Masked Autoencoder for facial video Representation LearnINgCode2
MiVOLO: Multi-input Transformer for Age and Gender EstimationCode2
Distributionally Generative Augmentation for Fair Facial Attribute ClassificationCode1
Label2Label: A Language Modeling Framework for Multi-Attribute LearningCode1
Learning from Failure: Training Debiased Classifier from Biased ClassifierCode1
FairFace: Face Attribute Dataset for Balanced Race, Gender, and AgeCode1
Fair Contrastive Learning for Facial Attribute ClassificationCode1
Deep Learning Face Attributes in the WildCode1
Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition SystemsCode1
Discover and Mitigate Unknown Biases with Debiasing Alternate NetworksCode1
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
Improving Facial Attribute Prediction using Semantic Segmentation—0
Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data—0
Leveraging vision-language models for fair facial attribute classification—0
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data—0
AFFACT - Alignment-Free Facial Attribute Classification Technique—0
Are Facial Attributes Adversarially Robust?—0
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification—0
Attributes for Improved Attributes: A Multi-Task Network for Attribute Classification—0
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation—0
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification—0
Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups—0
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