DTSSD: Dual-Channel Transformer-Based Network for Point-Based 3D Object Detection
Author:
Affiliation:
1. Sun Yat-sen University, Guangzhou, China
2. School of Electronic and Information Technology, Sun Yat-sen University, Guangzhou, China
Funder
Science and Technology Program of Guangdong Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/97/10036333/10144609.pdf?arnumber=10144609
Reference27 articles.
1. Voxel Transformer for 3D Object Detection
2. Point density-aware voxels for lidar 3D object detection;hu;Proc IEEE Conf Comput Vis and Pattern Recog,0
3. PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud
4. GA-NET: Global Attention Network for Point Cloud Semantic Segmentation
5. PointNet++: Deep hierarchical feature learning on point sets in a metric space;qi;Proc 31st Int Conf Neural Inf Process Syst,0
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