Multi-source panoptic feature pyramid network
US11941884B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 12, 2021 |
| Grant date | Mar 26, 2024 |
| Priority date | — |
| Expiry date | Sep 7, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for image processing are described. Embodiments of the present disclosure receive an image having a plurality of object instances; encode the image to obtain image features; decode the image features to obtain object features; generate object detection information based on the object features using an object detection branch, wherein the object detection branch is trained based on a first training set using a detection loss; generate semantic segmentation information based on the object features using a semantic segmentation branch, wherein the semantic segmentation branch is trained based on a second training set different from the first training set using a semantic segmentation loss; and combine the object detection information and the semantic segmentation information to obtain panoptic segmentation information that indicates which pixels of the image correspond to each of the plurality of object instances.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.