The self-attention mechanism is the core component that generates refined attention features for input features according to the global context. Some recent ...

Dec 31, 2021 · Abstract: PointNet makes it possible to process point cloud data directly. However, PointNet only extracts global features and cannot ...

Dec 1, 2022 · PointNet makes it possible to process point cloud data directly. However, PointNet only extracts global features and cannot capture fine ...

Oct 22, 2024 · PointNet makes it possible to process point cloud data directly. However, PointNet only extracts global features and cannot capture fine ...

Dec 13, 2023 · We propose a network that combines attention mechanisms with dual graph convolutions. Firstly, we construct a static graph based on the dynamic graph.

In this paper, we propose a cognitive self-attention based learning approach to aggregate global representation of 3D shapes from point cloud data.

Mar 3, 2024 · The model utilizes a region-growth approach and self-attention mechanism to iteratively expand or contract a region by adding or removing points ...

PCT also modifies the self-attention mechanism and proposed offset attention to better complete the point cloud tasks.

Oct 16, 2024 · A point-cloud upsampling network (PPSA-PU) based on Pyramid Pooling and Self-Attention mechanism is proposed.

In this paper, we propose a novel end-to-end network. SOE-Net for point cloud based retrieval. We design a. PointOE module and a self-attention unit, using ...