Papers › SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and...
SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization
Jingang Tan, Lili Chen, Kangru Wang, Jingquan Peng, Jiamao Li, Xiaolin Zhang
We propose a novel 3D point cloud segmentation framework named SASO, which jointly performs semantic and instance segmentation tasks. For semantic segmentation task, inspired by the inherent correlation among objects in spatial context, we propose a Multi-scale Semantic Association (MSA) module to explore the constructive effects of the semantic context information. For instance segmentation task, different from previous works that utilize clustering only in inference procedure, we propose a Salient Point Clustering Optimization (SPCO) module to introduce a clustering procedure into the training process and impel the network focusing on points that are difficult to be distinguished. In addition, because of the inherent structures of indoor scenes, the imbalance problem of the category distribution is rarely considered but severely limits the performance of 3D scene perception. To address this issue, we introduce an adaptive Water Filling Sampling (WFS) algorithm to balance the category distribution of training data. Extensive experiments demonstrate that our method outperforms the state-of-the-art methods on benchmark datasets in both semantic segmentation and instance segmentation tasks.
Code
No code repository is listed for this paper in the archive or in Syntology's graph.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| 3D Instance Segmentation | S3DIS | SASO | mAcc | 72.8 | #18 of 21 | Archive leaderboard | report |
| 3D Instance Segmentation | S3DIS | SASO | mCov | 54.5 | #18 of 21 | Archive leaderboard | report |
| 3D Instance Segmentation | S3DIS | SASO | mIoU | 61.1 | #18 of 21 | Archive leaderboard | report |
| 3D Instance Segmentation | S3DIS | SASO | mPrec | 64.2 | #18 of 21 | Archive leaderboard | report |
| 3D Instance Segmentation | S3DIS | SASO | mRec | 50.8 | #18 of 21 | Archive leaderboard | report |
| 3D Instance Segmentation | S3DIS | SASO | mWCov | 58.3 | #18 of 21 | 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections