ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)
active 2023-08-15 → 2026-04-18 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 978 days from 2023-08-15 to 2026-04-18. Pushes: 18 total, peak 3 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 56 total, peak 4 in a day. Comments: 75 total, peak 6 in a day. Stars: 91 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| ngoductuanlhp | 43 | 15 | 0 | 17 |
| huanghuang113 | 14 | 0 | 0 | 8 |
| Jack-Dong-Dong | 9 | 0 | 0 | 9 |
| WS517 | 8 | 0 | 0 | 4 |
| wowluna | 6 | 0 | 0 | 4 |
| Wzy-lab | 6 | 0 | 0 | 3 |
| alphabet-lgtm | 4 | 0 | 0 | 1 |
| Rurouni-z | 4 | 0 | 0 | 2 |
| TstMua | 3 | 0 | 0 | 1 |
| yyds12 | 3 | 0 | 0 | 3 |
| kellieda | 3 | 0 | 0 | 3 |
| YuQiao0303 | 3 | 0 | 0 | 2 |
| Jack-Czt | 3 | 0 | 0 | 1 |
| RongkunYang | 2 | 0 | 0 | 0 |
| LinLin1031 | 2 | 0 | 0 | 1 |
| JennyWow111 | 2 | 0 | 0 | 1 |
| aycatakmaz | 2 | 0 | 0 | 1 |
| mengcaopku | 2 | 0 | 0 | 0 |
| kaoutar-elmouh | 2 | 0 | 0 | 2 |
| 1172100122 | 2 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#42jianuo11282026-01-06 13:46How to train the checkpoint of my datasets?
- Issue#73zhoujinhai2025-12-26 08:59How to set the `voxel_cfg` for custom dataset?
- Issue comment#53YJJ08292025-04-24 08:16Error is keep occuring --- AssertionError: Empty dataset
- Issue comment#40Jack-Dong-Dong2025-04-22 06:57About the preprocessed superpoints from Box2Mask when preprocessing S3DIS.
- Issue comment#40lmyuxian1162025-04-22 06:54About the preprocessed superpoints from Box2Mask when preprocessing S3DIS.
- Issue comment#70LIP7732025-04-18 13:38S3DIS Evalution Problem: AP=0 with pretrained model
- Issue#72LIP7732025-04-18 02:52The download link for the S3DIS dataset checkpoint is no longer valid
- Issue#71RongkunYang2025-01-31 13:47about ScanNet200 checkpoints
- Issue#70BlueBell932025-01-29 14:08S3DIS Evalution Problem: AP=0 with pretrained model
- Issue comment#40Jack-Dong-Dong2025-01-13 09:06About the preprocessed superpoints from Box2Mask when preprocessing S3DIS.
- Issue comment#40Jack-Dong-Dong2025-01-13 08:56About the preprocessed superpoints from Box2Mask when preprocessing S3DIS.
- Issue comment#40yyds122025-01-13 08:16About the preprocessed superpoints from Box2Mask when preprocessing S3DIS.
- Issue comment#40Jack-Dong-Dong2025-01-13 08:03About the preprocessed superpoints from Box2Mask when preprocessing S3DIS.
- Issue comment#40yyds122025-01-13 07:57About the preprocessed superpoints from Box2Mask when preprocessing S3DIS.
- Issue comment#44yyds122025-01-13 07:50Some instances that lean together are recognized as the same
- Issue#69Jack-Czt2025-01-07 02:57Can't find pretrain_stpls3d_val.pth
- Issue comment#63Jack-Dong-Dong2025-01-07 02:09help
- Issue comment#63Jack-Czt2025-01-07 02:04help
- Issue#69Jack-Czt2025-01-07 01:58Can't find pretrain_stpls3d_val.pth
- Issue comment#68alphabet-lgtm2024-12-06 07:02Got abnormal loss
- Issue#68alphabet-lgtm2024-12-06 06:58Got abnormal loss
- Issue#68alphabet-lgtm2024-12-06 06:57Got abnormal loss
- Issue#68alphabet-lgtm2024-12-06 06:31Got abnormal loss
- Pull request#67Smith-S-S2024-11-29 14:13
- Issue comment#53Smith-Augmentus2024-11-27 03:15Error is keep occuring --- AssertionError: Empty dataset
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 91 stars here means stars gained during the window, not the repo's star count.