Systems and methods for polygon object annotation and a method of training and object annotation system
US10643130B2 · kind B2 · utility
3Cited by
0References
15Claims
0Family size
Inventors
Key dates
| Filing date | Mar 25, 2019 |
| Grant date | May 5, 2020 |
| Priority date | — |
| Expiry date | Mar 25, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention relates generally to object annotation, specifically to polygonal annotations of objects. Described are methods of annotating an object including steps of receiving an image depicting an object, generating a set of image features using a CNN encoder implemented on one or more computers, and producing a polygon object annotation via a recurrent decoder or a Graph Neural Network. The recurrent decoder may include a recurrent neural network, a graph neural network or a gated graph neural network. A system for annotating an object and a method of training an object annotation system are also described.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.