Unsupervised annotation using dual network system with pre-defined structure
US11403511B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 18, 2019 |
| Grant date | Aug 2, 2022 |
| Priority date | — |
| Expiry date | Apr 28, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20132
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some implementations at an electronic device, training a dual EDNN includes defining a data structure of attributes corresponding to defined parts of a task, processing a first instance of an input using a first EDNN to produce a first output while encoding a first set of the attributes in a first latent space, and processing a second instance of the input using a second EDNN to produce a second output while encoding attribute differences from attribute averages in a second latent space. The device then determines a second set of the attributes based on the attribute differences and the attribute averages. The device then adjusts parameters of the first and second EDNNs based on comparing the first instance of the input to the first output, the second instance of the input to the second output, and the first set of attributes to the second set of attributes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.