Methods and apparatuses of contrastive learning for color constancy
US12079306B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 18, 2021 |
| Grant date | Sep 3, 2024 |
| Priority date | — |
| Expiry date | Mar 2, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A contrastive learning method for color constancy employs a fully-supervised construction of contrastive pairs, driven by a novel data augmentation. The contrastive learning method includes receiving two training images, constructing positive and negative contrastive pairs by the novel data augmentation, extracting representations by a feature extraction function, and training a color constancy model by contrastive learning representations in the positive contrastive pair are closer than representations in the negative contrastive pair. The positive contrastive pair contains images having an identical illuminant while negative contrastive pair contains images having different illuminants. The contrastive learning method improves the performance without additional computational costs. The desired contrastive pairs allow the color constancy model to learn better illuminant feature that are particular robust to worse-cases in data sparse regions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.