PointCutMix finds the optimal assignment between two point clouds and generates new training data by replacing the points in one sample with their optimal assigned pairs.
Jan 5, 2021 · Abstract:As 3D point cloud analysis has received increasing attention, the insufficient scale of point cloud datasets and the weak ...
Sep 21, 2022 · In this paper, we propose a simple and effective augmentation method for the point cloud data to alleviate those problems. It finds the one-to- ...
Feb 5, 2021 · In this paper, we propose PointCutMix, a regularization strategy for point cloud classification. We conduct exten- sive experiments to ...
In this paper, we propose a simple and effective augmentation method for the point cloud data to alleviate those problems. It finds the one-to-one ...
A novel UDA method for point clouds from the perspective of multi-strategy that could effectively perceive the occlusion and capture fine-grained features ...
Jan 5, 2021 · In this paper, we propose a simple and effective augmentation method for the point cloud data, named PointCutMix, to alleviate those problems.
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What is the point cloud classification algorithm?
We propose new data augmentation method for point clouds that mixes train- ing samples with preserved structures by using Rigid. Subset (RS). • Significant ...
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This paper proposes a Rigid Subset Mix (RSMix), a novel data augmentation method for point clouds that generates a virtual mixed sample by replacing part of the ...
Missing: PointCutMix: | Show results with:PointCutMix:
Jan 29, 2022 · "PointCutMix: Regularization Strategy for Point Cloud Classification. ... "Regularization Strategy for Point Cloud via Rigidly Mixed Sample.