Semi-automatic Labeling and Training Strategy for Deep Learning-based Facial Wrinkle Detection

Author:

Kim Semin1,Yoon Huisu1,Lee Jongha1,Yoo Sangwook2

Affiliation:

1. AI R&D Center,lululab Inc.,Seoul,South Korea

2. lululab Inc.,Seoul,South Korea

Funder

Ministry of Science and ICT

NIPA

Publisher

IEEE

Reference24 articles.

1. Adaptive Thresholding using the Integral Image

2. Brox, T. U-net: Convolutional networks for biomedical image segmentation;ronneberger;In International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

3. Fully convolutional networks for semantic segmentation

4. Encoder decoder with atrous separable convolution for semantic image segmentation;chen;Proceedings of the European Conference on Computer Vision (ECCV),2018

5. Unet++: A nested u-net architecture for medical image segmentation;zhou;In MICCAI,2018

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