Enhancing Computer Vision with Knowledge: a Rummikub Case Study
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866909406386454528 |
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| author | Vandevelde, Simon Mertens, Laurent Lauwers, Sverre Vennekens, Joost |
| author_facet | Vandevelde, Simon Mertens, Laurent Lauwers, Sverre Vennekens, Joost |
| contents | Artificial Neural Networks excel at identifying individual components in an image. However, out-of-the-box, they do not manage to correctly integrate and interpret these components as a whole. One way to alleviate this weakness is to expand the network with explicit knowledge and a separate reasoning component. In this paper, we evaluate an approach to this end, applied to the solving of the popular board game Rummikub. We demonstrate that, for this particular example, the added background knowledge is equally valuable as two-thirds of the data set, and allows to bring down the training time to half the original time. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_18172 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Enhancing Computer Vision with Knowledge: a Rummikub Case Study Vandevelde, Simon Mertens, Laurent Lauwers, Sverre Vennekens, Joost Computer Vision and Pattern Recognition Logic in Computer Science Artificial Neural Networks excel at identifying individual components in an image. However, out-of-the-box, they do not manage to correctly integrate and interpret these components as a whole. One way to alleviate this weakness is to expand the network with explicit knowledge and a separate reasoning component. In this paper, we evaluate an approach to this end, applied to the solving of the popular board game Rummikub. We demonstrate that, for this particular example, the added background knowledge is equally valuable as two-thirds of the data set, and allows to bring down the training time to half the original time. |
| title | Enhancing Computer Vision with Knowledge: a Rummikub Case Study |
| topic | Computer Vision and Pattern Recognition Logic in Computer Science |
| url | https://arxiv.org/abs/2411.18172 |