Second, we uniquely use a point transformer network as an encoder to extract point feature information from bitemporal 3D point clouds. Then, we design a module for fusing the spatiotemporal features of bi-temporal point clouds to effectively detect change features. Finally, multilayer perceptrons ...
In this paper, we propose a novel Point Spatial-Temporal Transformer (P ST 2) network to tackle the above two challenges. First, we introduce a self-attention based module, i.e., Spatio-Temporal Self-Attention (STSA), to capture inter-frame spatial-temporal context informa...
Fan, H., Yang, Y., Kankanhalli, M.: Point spatio-temporal transformer networks for point cloud video modeling. IEEE Trans. Pattern Anal. Mach. Intell. (2022) Google Scholar Yu, X., Rao, Y., Wang, Z., Liu, Z., Lu, J., Zhou, J.: PointR: diverse point cloud completion with ...
Specifically, P4Transformer consists of (i) a point 4D convolution to embed the spatio-temporal local structures presented in a point cloud video and (ii) a transformer to capture the appearance and motion information across the entire video by performing self-attention on the embedded local ...
Inspired by the success of Transformers in the 2D image domain, some works have introduced Transformer ideas into point cloud processing, effectively addressing the irregular distribution of point clouds and improving the robustness of the model (Guo et al. 2021; Zhao et al. 2021a; Park et al...
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds [det; TPAMI] Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes [det; TPAMI] PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution [seg, det...
几篇论文实现代码:《Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos》(CVPR 2021) GitHub:https:// github.com/hehefan/P4Transformer [fig7] 《Adaptive Prototype Learn...
Point 4D transformer networks for spatio-temporal modeling in point cloud... GuoM.-H. et al. PCT: Point cloud transformer Comput. Vis. Media (2021) GuoM.-H. et al. Pct: Point cloud transformer Comput. Vis. Media (2021) HochreiterS. et al. Long short-term memory Neural Comput. (...
FusionFormer: A multi-sensory fusion in bird's-eye- view and temporal consistent transformer for 3d objection. arXiv preprint arXiv:2309.05257, 2023. 2 [17] Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, and Dacheng Tao. ST-P3: end-to-end vision-based au- tonomous ...
Choy, C., Gwak, J., Savarese, S.: 4D spatio-temporal convnets: Minkowski convolutional neural networks. In: CVPR, pp. 3075–3084 (2019) Google Scholar Contreras, J., Denzler, J.: Edge-convolution point net for semantic segmentation of large-scale point clouds. In: IGARSS, pp. 5236–...