3D Concept Learning and Reasoning from Multi-View Images

Humans are able to accurately reason in 3D by gathering multi-view observations of the surrounding world. Inspired by this insight, we introduce a new large-scale benchmark for 3D multi-view visual question answering (3DMV-VQA). This dataset is collected by an embodied agent actively moving and capt...

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Bibliographische Detailangaben

Hauptverfasser:	Hong, Yining, Lin, Chunru, Du, Yilun, Chen, Zhenfang, Tenenbaum, Joshua B, Gan, Chuang
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Computer Science - Robotics
Online-Zugang:	Volltext bestellen
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