Papers › DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion
DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion
Renrui Zhang, Ziyao Zeng, Ziyu Guo, Xinben Gao, Kexue Fu, Jianbo Shi
Point cloud processing is a challenging task due to its sparsity and irregularity. Prior works introduce delicate designs on either local feature aggregator or global geometric architecture, but few combine both advantages. We propose Dual-Scale Point Cloud Recognition with High-frequency Fusion (DSPoint) to extract local-global features by concurrently operating on voxels and points. We reverse the conventional design of applying convolution on voxels and attention to points. Specifically, we disentangle point features through channel dimension for dual-scale processing: one by point-wise convolution for fine-grained geometry parsing, the other by voxel-wise global attention for long-range structural exploration. We design a co-attention fusion module for feature alignment to blend local-global modalities, which conducts inter-scale cross-modality interaction by communicating high-frequency coordinates information. Experiments and ablations on widely-adopted ModelNet40, ShapeNet, and S3DIS demonstrate the state-of-the-art performance of our DSPoint.
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Code
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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 | DSPoint | Class Average IoU | 83.9 | #39 of 67 | Archive leaderboard | report |
| 3D Part Segmentation | ShapeNet-Part | DSPoint | Instance Average IoU | 85.8 | #39 of 67 | Archive leaderboard | report |
| 3D Point Cloud Classification | ModelNet40 | DSPoint | Number of params | 1.16M | #60 of 111 | Archive leaderboard | report |
| 3D Point Cloud Classification | ModelNet40 | DSPoint | Overall Accuracy | 93.5 | #60 of 111 | Archive leaderboard | report |
| Semantic Segmentation | S3DIS | DSPoint | Mean IoU | 63.3 | #38 of 54 | Archive leaderboard | report |
| Semantic Segmentation | S3DIS | DSPoint | Number of params | N/A | #38 of 54 | Archive leaderboard | report |
| Semantic Segmentation | S3DIS | DSPoint | mAcc | 70.9 | #38 of 54 | 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.
Methods
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