Multi-task learning for real-time semantic and/or depth aware instance segmentation and/or three-dimensional object bounding
US11893750B2 · kind B2 · utility
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17Claims
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Key dates
| Filing date | Dec 31, 2019 |
| Grant date | Feb 6, 2024 |
| Priority date | — |
| Expiry date | May 18, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30261
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine-learning (ML) architecture for determining three or more outputs, such as a two and/or three-dimensional region of interest, semantic segmentation, direction logits, depth data, and/or instance segmentation associated with an object in an image. The ML architecture may output these outputs at a rate of 30 or more frames per second on consumer grade hardware.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.