Restricted multi-scale inference for machine learning
US11592818B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 20, 2018 |
| Grant date | Feb 28, 2023 |
| Priority date | — |
| Expiry date | Sep 24, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/58
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for utilizing multiple scales of images as input to machine learning (ML) models are discussed herein. Operations can include providing an image associated with a first scale to a first ML model. An output of the first ML model can include a first bounding box indicative of a first region of the image representing a first object, with the first bounding box falling within a first range of sizes. Next, a scaled image can be generated by scaling the image. The scaled image can be provided to a second ML model, which can output a second bounding box indicative of a second region of the image representing a second object, the second bounding falling within a second range of sizes. Thus, inputting a scaled image to a same ML model (or to different ML models) can result in different detected features in the images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.