Facial Component-Landmark Detection With Weakly-Supervised LR-CNN

Facial Component-Landmark Detection With Weakly-Supervised LR-CNN

In this paper, we propose a weakly supervised landmark-region-based convolutional neural network (LR-CNN) framework to detect facial component and landmark simultaneously. Most of the existing course-to-fine facial detectors fail to detect landmark accurately without lots of fully labeled data, whic...

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Bibliographic Details
Main Authors: Ruiheng Zhang, Chengpo Mu, Min Xu, Lixin Xu, Xiaofeng Xu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Weakly-supervised
facial landmark
generative adversarial network
region-based convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/8598858/

Internet

https://ieeexplore.ieee.org/document/8598858/

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