Papers by Shunya Kato
ARKitSceneRefer: Text-based Localization of Small Objects in Diverse Real-World 3D Indoor Scenes (2023.findings-emnlp)
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| Challenge: | Existing datasets for 3D referring expression comprehension cover large objects and small objects, such as cooking tools and office supplies. |
| Approach: | They propose a 3D referring expression comprehension dataset that uses 3D scenes to ground text representations onto objects in 3D environments. |
| Outcome: | The proposed dataset covers 15k objects of 1,605 indoor scenes and is significantly larger than existing datasets. |