Invention Application
- Patent Title: SEMI-SUPERVISED LEARNING FOR LANDMARK LOCALIZATION
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Application No.: US16006709Application Date: 2018-06-12
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Publication No.: US20180365532A1Publication Date: 2018-12-20
- Inventor: Pavlo Molchanov , Stephen Walter Tyree , Jan Kautz , Sina Honari
- Applicant: NVIDIA Corporation
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/00 ; G06N3/04 ; G06N3/08

Abstract:
A method, computer readable medium, and system are disclosed for sequential multi-tasking to generate coordinates of landmarks within images. The landmark locations may be identified on an image of a human face and used for emotion recognition, face identity verification, eye gaze tracking, pose estimation, etc. A neural network model processes input image data to generate pixel-level likelihood estimates for landmarks in the input image data and a soft-argmax function computes predicted coordinates of each landmark based on the pixel-level likelihood estimates.
Public/Granted literature
- US10783393B2 Semi-supervised learning for landmark localization Public/Granted day:2020-09-22
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