Patent · US Active

Optimal and efficient machine learning method for deep semantic segmentation

US10891523B2 · kind B2 · utility

0Cited by

0References

6Claims

0Family size

Assignee

DRVISION TECHNOLOGIES LLC · US

Inventors

Hideki Sasaki · Tokyo, JP
Chi-Chou Huang · Taichung, TW
Shih-Jong J. Lee · Bellevue, US

Key dates

Filing date	Apr 17, 2020
Grant date	Jan 12, 2021
Priority date	—
Expiry date	Apr 17, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/20084
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Four computerized machine learning methods for deep semantic segmentation are fast machine learning method, active machine learning method, optimal machine learning method, and optimal transfer learning method. The fast machine learning method performs a fast deep semantic segmentation learning on training images to generate a deep model. The active machine learning method performs a fast deep semantic segmentation learning on initial training images to generate a first deep model and then an active deep semantic segmentation learning to generate a second deep model. The optimal machine learning method performs a fast deep semantic segmentation learning on initial training images to generate a first deep model and then an optimal deep semantic segmentation learning to generate a second deep model. The optimal transfer learning method applies a pre-trained first deep model on transfer training images and then an optimal deep semantic segmentation transfer learning to generate a second deep model.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.