Papers with ShapeIntersection
Think Visually: Question Answering through Virtual Imagery (P18-1)
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| Challenge: | Existing models of geometric reasoning are based on visual representations of objects and objects, but they are not based in symbols or words. |
| Approach: | They propose a new deep network architecture that specializes in answering questions that admit latent visual representations and learns to generate and reason over such representations. |
| Outcome: | The proposed model can generate and reason over latent visual representations and is validated by two synthetic benchmarks. |