FLSNet: Robust Facial Landmark Semantic Segmentation

FLSNet: Robust Facial Landmark Semantic Segmentation

The human face is one of the most viewed visual objects in a person's life and is used for identifying a person through facial landmarks, which includes the eyes, nose, mouth, and ears that make up a face. It is also possible to communicate nonverbally through the movements of facial landmarks;...

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Bibliographic Details
Main Authors: Hyungjoon Kim, Hyeonwoo Kim, Jehyeok Rew, Eenjun Hwang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Facial landmark
semantic segmentation
deep neural networks
network architecture
pixel unbalance
weighted feature map
Online Access:https://ieeexplore.ieee.org/document/9123397/

Internet

https://ieeexplore.ieee.org/document/9123397/

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