Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection

@article{Chen2022GraphDETR3DRO,
  title={Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection},
  author={Zehui Chen and Zhenyu Li and Shiquan Zhang and Liangji Fang and Qinhong Jiang and Feng Zhao},
  journal={ArXiv},
  year={2022},
  volume={abs/2204.11582}
}
3D object detection from multiple image views is a fun-damental and challenging task for visual scene understanding. Due to its low cost and high efficiency, multi-view 3D object detection has demonstrated promising application prospects. However, accurately detecting objects through perspective views in the 3D space is extremely difficult due to the lack of depth information. Recently, DETR3D [45] introduces a novel 3D-2D query paradigm in aggregating multi-view images for 3D object detection… 

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