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FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection
[article]
2021
arXiv
pre-print
Accurate detection of obstacles in 3D is an essential task for autonomous driving and intelligent transportation. In this work, we propose a general multimodal fusion framework FusionPainting to fuse the 2D RGB image and 3D point clouds at a semantic level for boosting the 3D object detection task. Especially, the FusionPainting framework consists of three main modules: a multi-modal semantic segmentation module, an adaptive attention-based semantic fusion module, and a 3D object detector.
arXiv:2106.12449v2
fatcat:rboxbzoa3zfipifw4ff4qf2ofq