Computer vision systems and methods for object detection with reinforcement learning
US12067644B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 16, 2020 |
| Grant date | Aug 20, 2024 |
| Priority date | — |
| Expiry date | Aug 3, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Computer vision systems and methods for object detection with reinforcement learning are provided. The system includes a reinforcement learning agent configured to detect an object pertaining to a target object class and a plurality of objects pertaining to different target object classes, such that the reinforcement learning agent determines a bounding box for each of the detected of objects. The system first sets parameters of the reinforcement learning agent. The system then detects an object and/or objects in an image based on the set parameters. Finally, the system determines a bounding box and/or bounding boxes for each of the detected objects.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.