Papers › Dense-Resolution Network for Point Cloud Classification and Segmentation
Dense-Resolution Network for Point Cloud Classification and Segmentation
Shi Qiu, Saeed Anwar, Nick Barnes
Point cloud analysis is attracting attention from Artificial Intelligence research since it can be widely used in applications such as robotics, Augmented Reality, self-driving. However, it is always challenging due to irregularities, unorderedness, and sparsity. In this article, we propose a novel network named Dense-Resolution Network (DRNet) for point cloud analysis. Our DRNet is designed to learn local point features from the point cloud in different resolutions. In order to learn local point groups more effectively, we present a novel grouping method for local neighborhood searching and an error-minimizing module for capturing local features. In addition to validating the network on widely used point cloud segmentation and classification benchmarks, we also test and visualize the performance of the components. Comparing with other state-of-the-art methods, our network shows superiority on ModelNet40, ShapeNet synthetic and ScanObjectNN real point cloud datasets.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| 3D Part Segmentation | ShapeNet-Part | DRNet | Class Average IoU | 83.7 | #27 of 67 | Archive leaderboard | report |
| 3D Part Segmentation | ShapeNet-Part | DRNet | Instance Average IoU | 86.4 | #27 of 67 | Archive leaderboard | report |
| 3D Point Cloud Classification | ModelNet40 | DRNet | Overall Accuracy | 93.1 | #71 of 111 | Archive leaderboard | report |
| 3D Point Cloud Classification | ScanObjectNN | DRNet | Mean Accuracy | 78.0 | #71 of 77 | Archive leaderboard | report |
| 3D Point Cloud Classification | ScanObjectNN | DRNet | Overall Accuracy | 80.3 | #71 of 77 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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