Vehicle image generation
US11042758B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 2, 2019 |
| Grant date | Jun 22, 2021 |
| Priority date | — |
| Expiry date | Sep 24, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer, including a processor and a memory, the memory including instructions to be executed by the processor to generate a synthetic image and corresponding ground truth and generate a plurality of domain adapted synthetic images by processing the synthetic image with a variational auto encoder-generative adversarial network (VAE-GAN), wherein the VAE-GAN is trained to adapt the synthetic image from a first domain to a second domain. The instructions can include further instructions to train a deep neural network (DNN) based on the domain adapted synthetic images and the corresponding ground truth and process images with the trained deep neural network to determine objects.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.