Systems and methods for fast novel visual concept learning from sentence descriptions of images
US10504010B2 · kind B2 · utility
8Cited by
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20Claims
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Key dates
| Filing date | Jan 27, 2017 |
| Grant date | Dec 10, 2019 |
| Priority date | — |
| Expiry date | Mar 10, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein are systems and methods that address the task of learning novel visual concepts, and their interactions with other concepts, from a few images with sentence descriptions. Using linguistic context and visual features, embodiments are able to efficiently hypothesize the semantic meaning of new words and add them to model word dictionaries so that they can be used to describe images which contain these novel concepts. In the experiments, it was shown that the tested embodiments effectively learned novel visual concepts from a few examples without disturbing the previously learned concepts.
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