Finally, we construct our neural architecture called point‐voxel transformer (PVT), which integrates these modules into a joint framework for point cloud learning. Compared with previous transformer‐based and attention‐based models, our method attains a top accuracy of 94.1% on the classification ...
3.PillarTransformer系列 PillarTrack 4.PointVoxelTransformer系列 PVTransformer 5.PointGridTransformer系列 PointGridFormer 总结 前言 本文总结了PointCloudTransformer系列论文,主要包含:PointTransformer、VoxelTransformer、PillarTransformer、PointVoxelTransformer、PointGridTransformer,总计17篇论文,可作为科研、开发的参考资料。
Point Transformer V3: Simpler, Faster, Strongerarxiv.org/abs/2312.10035 摘要 本篇论文不是寻求注意力机制的新的创新,而是平衡点云处理中准确性和效率的trade-offs。借鉴3D large-scale表示学习,作者认识到模型性能更受规模scale的影响,而不是复杂设计。因此作者提出Point Transformer V3 (PTv3),优先考虑简单...
However, existing point cloud Transformer methods have problems with massive parameters, heavy computation, and lack of local features due to the use of global self-attention. To solve these problems, this paper presents a novel point-voxel dual stream Transformer (PVDST) network, which combines ...
Table 9: Ablation study onModelNet40. PB and VBmeanthe point-based branch and the voxel-based branch; NPB denotes the number of PVT blocks; shifting means all self-attention modules adopt the cyclic shifted box partitioning method. ModelPBVBshiftingNPBOA(%)Latency ...
Finally, we construct our neural architecture called point‐voxel transformer (PVT), which integrates these modules into a joint framework for point cloud learning. Compared with previous transformer‐based and attention‐based models, our method attains a top accuracy of 94.1% on the classification ...
PVT: Point-Voxel Transformer for 3D Deep Learning. Contribute to HaochengWan/PVT development by creating an account on GitHub.
we propose PVTransformer: a transformer-based point-to-voxel architecture for 3D detection. Our key idea is to replace the PointNet pooling operation with an attention module, leading to a better point-to-voxel aggregation function. Our design respects the permutation invariance of sparse 3D points...
@inproceedings{yang2023pvtssd, author = {Yang, Honghui and Wang, Wenxiao and Chen, Minghao and Lin, Binbin and He, Tong and Chen, Hua and He, Xiaofei and Ouyang, Wanli}, title = {PVT-SSD: Single-Stage 3D Object Detector With Point-Voxel Transformer}, booktitle = {Proceedings of the...
Voxel-based networks Point-based networks Transformer and self-attention 3. Point Transformer 先介绍Transformer 和 自注意力,在介绍point transformer,最后提出网络架构 3.1. Background Transformer 和 自注意力在NLP[39 45 5 4 51],图像[10 28 54 6]领域 have revolutionized。自注意力可以分为两类:calar ...