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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 11–20 of 37 papers

TitleStatusHype
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
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