Bounding Box-Guided Pseudo Point Clouds Early-Fusion and Density Optimize for 3D Object Detection-Reference-Cited by-同舟云学术

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Bounding Box-Guided Pseudo Point Clouds Early-Fusion and Density Optimize for 3D Object Detection

Published:2024-04-14 Issue: Volume: Page:4205-4209
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Zhao Shiwei¹,Yan Shengye¹

Affiliation:

1. Nanjing University of Information Science and Technology,School of Automation, B-DAT, CICAEET,Nanjing,China,210044

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446563.pdf?arnumber=10446563

Reference25 articles.

1. PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud

2. Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

3. PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

4. PointPainting: Sequential Fusion for 3D Object Detection

5. PointAugmenting: Cross-Modal Augmentation for 3D Object Detection

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