Papers › MSTA3D: Multi-scale Twin-attention for 3D Instance Segmentation
MSTA3D: Multi-scale Twin-attention for 3D Instance Segmentation
Duc Dang Trung Tran, Byeongkeun Kang, Yeejin Lee
Recently, transformer-based techniques incorporating superpoints have become prevalent in 3D instance segmentation. However, they often encounter an over-segmentation problem, especially noticeable with large objects. Additionally, unreliable mask predictions stemming from superpoint mask prediction further compound this issue. To address these challenges, we propose a novel framework called MSTA3D. It leverages multi-scale feature representation and introduces a twin-attention mechanism to effectively capture them. Furthermore, MSTA3D integrates a box query with a box regularizer, offering a complementary spatial constraint alongside semantic queries. Experimental evaluations on ScanNetV2, ScanNet200 and S3DIS datasets demonstrate that our approach surpasses state-of-the-art 3D instance segmentation methods.
In Syntology Open this paper in Syntology's Atlas, the map of the papers in Syntology's graph and their citations.
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 | MSTA3D | AP@50 | 70.0 | #6 of 21 | Archive leaderboard | report |
| 3D Instance Segmentation | S3DIS | MSTA3D | mPrec | 80.6 | #6 of 21 | Archive leaderboard | report |
| 3D Instance Segmentation | S3DIS | MSTA3D | mRec | 70.1 | #6 of 21 | Archive leaderboard | report |
| 3D Instance Segmentation | ScanNet(v2) | MSTA3D | mAP | 56.9 | #5 of 32 | Archive leaderboard | report |
| 3D Instance Segmentation | ScanNet(v2) | MSTA3D | mAP @ 50 | 79.5 | #5 of 32 | Archive leaderboard | report |
| 3D Instance Segmentation | ScanNet(v2) | MSTA3D | mAP@25 | 87.9 | #5 of 32 | Archive leaderboard | report |
| 3D Instance Segmentation | ScanNet(v2) | MSTA3D | mRec | 74.1 | #5 of 32 | Archive leaderboard | report |
| 3D Instance Segmentation | ScanNet200 | MSTA3D | mAP | 26.2 | #3 of 5 | Archive leaderboard | report |
| 3D Instance Segmentation | ScanNet200 | MSTA3D | mAP@25 | 40.1 | #3 of 5 | Archive leaderboard | report |
| 3D Instance Segmentation | ScanNet200 | MSTA3D | mAP@50 | 35.2 | #3 of 5 | 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