Papers › Contrastive Boundary Learning for Point Cloud Segmentation
Contrastive Boundary Learning for Point Cloud Segmentation
Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, DaCheng Tao
Point cloud segmentation is fundamental in understanding 3D environments. However, current 3D point cloud segmentation methods usually perform poorly on scene boundaries, which degenerates the overall segmentation performance. In this paper, we focus on the segmentation of scene boundaries. Accordingly, we first explore metrics to evaluate the segmentation performance on scene boundaries. To address the unsatisfactory performance on boundaries, we then propose a novel contrastive boundary learning (CBL) framework for point cloud segmentation. Specifically, the proposed CBL enhances feature discrimination between points across boundaries by contrasting their representations with the assistance of scene contexts at multiple scales. By applying CBL on three different baseline methods, we experimentally show that CBL consistently improves different baselines and assists them to achieve compelling performance on boundaries, as well as the overall performance, eg in mIoU. The experimental results demonstrate the effectiveness of our method and the importance of boundaries for 3D point cloud segmentation. Code and model will be made publicly available at https://github.com/LiyaoTang/contrastBoundary.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Semantic Segmentation | S3DIS | CBL | Mean IoU | 73.1 | #18 of 54 | Archive leaderboard | report |
| Semantic Segmentation | S3DIS | CBL | Number of params | N/A | #18 of 54 | Archive leaderboard | report |
| Semantic Segmentation | S3DIS | CBL | mAcc | 79.4 | #18 of 54 | Archive leaderboard | report |
| Semantic Segmentation | S3DIS | CBL | oAcc | 89.6 | #18 of 54 | Archive leaderboard | report |
| Semantic Segmentation | S3DIS Area5 | PointTransformer+CBL | Number of params | N/A | #25 of 61 | Archive leaderboard | report |
| Semantic Segmentation | S3DIS Area5 | PointTransformer+CBL | mAcc | 77.9 | #25 of 61 | Archive leaderboard | report |
| Semantic Segmentation | S3DIS Area5 | PointTransformer+CBL | mIoU | 71.6 | #25 of 61 | Archive leaderboard | report |
| Semantic Segmentation | S3DIS Area5 | PointTransformer+CBL | oAcc | 91.2 | #25 of 61 | 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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