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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
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
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings—0
Multi-task Learning of Cascaded CNN for Facial Attribute Classification—0
Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification—0
Imbalanced Deep Learning by Minority Class Incremental Rectification—0
Adversarial Information FactorizationCode0
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