This paper proposes a novel sampler learning strategy that learns sampling point displacement supervised by task-related ground truth information and can be ...
In this paper, we present a novel data-driven sampler learning strategy for point-wise analysis tasks. Unlike the widely used sampling technique, Farthest Point ...
Jul 9, 2021 · In this paper, we present a novel data-driven sampler learning strategy for point-wise analysis tasks. Unlike the widely used sampling technique ...
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In this paper, we present a novel data-driven sampler learning strategy for point-wise analysis tasks. Unlike the widely used sampling technique, Farthest Point ...
Jul 9, 2021 · Sampling, grouping, and aggregation are three important components in the multi-scale analysis of point clouds. In this paper, we present a ...
Sep 7, 2024 · In this paper, we present a novel data-driven sampler learning strategy for point-wise analysis tasks. Unlike the widely used sampling technique ...
In this paper, we present a novel data-driven sampler learning strategy for point-wise analysis tasks. Unlike the widely used sampling technique, Farthest Point ...
Farthest point sampling is based on the idea of repeatedly placing the next sample point in the middle of the least-known area of the sampling domain. In the ...
Missing: Beyond Wise
FPS [9, 29] is the most widely used sampling method, which selects the farthest points iteratively. FPS is easy to implement and has been frequently used in ...
Aug 22, 2024 · Established sampling protocols for 3D point cloud learning, such as Farthest Point Sampling (FPS) and Fixed Sample Size (FSS), have long ...