BiDFNet: A Bidirectional Feature Fusion Network for 3D Object Detection Based on Pseudo-LiDAR

This paper presents a bidirectional feature fusion network (BiDFNet) for 3D object detection, leveraging pseudo-point clouds to achieve bidirectional fusion of point cloud and image features. The proposed model addresses key challenges in multimodal 3D detection by introducing three novel components...

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Auteurs principaux:	Qiang Zhu, Yaping Wan
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-05-01
Collection:	Information
Sujets:	pseudo-point cloud 3D object detection substream sparse convolution multi-head attention mechanism
Accès en ligne:	https://www.mdpi.com/2078-2489/16/6/437
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