Panoptic segmentation refinement network
US12067730B2 · kind B2 · utility
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19Claims
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Key dates
| Filing date | Oct 6, 2021 |
| Grant date | Aug 20, 2024 |
| Priority date | — |
| Expiry date | Oct 19, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various disclosed embodiments are directed to refining or correcting individual semantic segmentation/instance segmentation masks that have already been produced by baseline models in order to generate a final coherent panoptic segmentation map. Specifically, a refinement model, such as an encoder-decoder-based neural network, generates or predicts various data objects, such as foreground masks, bounding box offset maps, center maps, center offset maps, and coordinate convolution. This, among other functionality described herein, improves the inaccuracies and computing resource consumption of existing technologies.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.