Deep Learning Face Attributes in the Wild
Published: Dec 1, 2015
Abstract
Predicting face attributes in the wild is challenging due to complex face variations. We propose a novel deep learning framework for attribute prediction in the wild. It cascades two CNNs, LNet and ANet, which are fine-tuned jointly with attribute tags, but pre-trained differently. LNet is pre-trained by massive general object categories for face localization, while ANet is pre-trained by massive face identities for attribute prediction. This...
Paper Details
Title
Deep Learning Face Attributes in the Wild
Published Date
Dec 1, 2015
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