Bounding box embedding for object identifying
US10922574B1 · kind B1 · utility
15Cited by
0References
20Claims
0Family size
Assignee
Inventor
Key dates
| Filing date | Dec 10, 2018 |
| Grant date | Feb 16, 2021 |
| Priority date | — |
| Expiry date | Apr 25, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed for implementing a neural network that outputs embeddings. Furthermore, techniques are disclosed for using sensor data to train a neural network to learn such embeddings. In some examples, the neural network may be trained to learn embeddings for instance segmentation of an object based on an embedding for a bounding box associated with the object being trained to match pixel embeddings for pixels associated with the object. The embeddings may be used for object identification, object matching, object classification, and/or object tracking in various examples.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.