Discovering relationships between object categories via universal canonical maps
We tackle the problem of learning the geometry of multiple categories of deformable objects jointly. Recent work has shown that it is possible to learn a unified dense pose predictor for several categories of related objects. However, training such models requires to initialize inter-category corres...
| Главные авторы: | , , , , |
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| Формат: | Conference item |
| Язык: | English |
| Опубликовано: |
IEEE
2021
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