System and method for training a model to perform semantic segmentation on low visibility images using high visibility images having a close camera view
US12236673B2 · kind B2 · utility
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Key dates
| Filing date | Jul 10, 2019 |
| Grant date | Feb 25, 2025 |
| Priority date | — |
| Expiry date | Aug 22, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and a method for training a semantic segmentation model includes obtaining a plurality of sets of images each having an index z for visibility, iteratively training the model. Iteratively training the model includes (a) for each z above 1, obtaining preliminary semantic segmentation labels for each image of the set of images of index z−1 by applying the model to each image of the set of images of index z−1, (b) processing each preliminary semantic segmentation labels using semantic segmentation labels obtained using the model on a selected image of index 1, and obtaining processed semantic segmentation labels, (c) training the model using the set of images of index z−1 and the associated processed semantic segmentation labels, and (d) performing steps (a) to (c) for z+1.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.