• Corpus ID: 245334889

ScanQA: 3D Question Answering for Spatial Scene Understanding

@article{Azuma2021ScanQA3Q,
  title={ScanQA: 3D Question Answering for Spatial Scene Understanding},
  author={Daich Azuma and Taiki Miyanishi and Shuhei Kurita and Motoki Kawanabe},
  journal={ArXiv},
  year={2021},
  volume={abs/2112.10482}
}
We propose a new 3D spatial understanding task for 3D question answering (3D-QA). In the 3D-QA task, models receive visual information from the entire 3D scene of a rich RGB-D indoor scan and answer given textual questions about the 3D scene. Unlike the 2D-question answering of visual question answering, the conventional 2D-QA models suffer from problems with spatial understanding of object alignment and directions and fail in object localization from the textual questions in 3D-QA. We propose… 
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