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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 26–37 of 37 papers

TitleStatusHype
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
Improving Facial Attribute Prediction using Semantic Segmentation—0
AFFACT - Alignment-Free Facial Attribute Classification Technique—0
Are Facial Attributes Adversarially Robust?—0
Attributes for Improved Attributes: A Multi-Task Network for Attribute Classification—0
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data—0
Deep Learning Face Attributes in the WildCode1
PANDA: Pose Aligned Networks for Deep Attribute ModelingCode0
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