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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
Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data—0
Learning from Failure: Training Debiased Classifier from Biased ClassifierCode1
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification—0
FairFace: Face Attribute Dataset for Balanced Race, Gender, and AgeCode1
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 RectificationCode0
Adversarial Information FactorizationCode0
Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach—0
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