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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 21–30 of 37 papers

TitleStatusHype
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
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification—0
Fair Multi-Exit Framework for Facial Attribute Classification—0
Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach—0
Imbalanced Deep Learning by Minority Class Incremental Rectification—0
Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification—0
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