[CVPR2023 Highlight] Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection
active 2023-08-16 → 2026-03-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 935 days from 2023-08-16 to 2026-03-07. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 31 total, peak 2 in a day. Comments: 70 total, peak 13 in a day. Stars: 116 total, peak 30 in a day.
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- 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 |
|---|---|---|---|---|
| Adamdad | 24 | 0 | 0 | 20 |
| Re-dot-art | 15 | 0 | 0 | 11 |
| Code-of-Liujie | 13 | 0 | 0 | 12 |
| qraleq | 7 | 0 | 0 | 5 |
| kinvwww | 4 | 0 | 0 | 0 |
| cyn-liu | 3 | 0 | 0 | 3 |
| FLYDust1101 | 3 | 0 | 0 | 2 |
| heha102 | 3 | 0 | 0 | 3 |
| MrDec | 3 | 0 | 0 | 3 |
| X-KL | 2 | 0 | 0 | 2 |
| xcx121 | 2 | 0 | 0 | 0 |
| 1shenhui | 2 | 0 | 0 | 0 |
| HtAgoni | 2 | 0 | 0 | 1 |
| Shawn9257 | 2 | 0 | 0 | 1 |
| pluto2027 | 1 | 0 | 0 | 1 |
| SORYZheng | 1 | 0 | 0 | 1 |
| facias914 | 1 | 0 | 0 | 0 |
| mingtianyidingtian | 1 | 0 | 0 | 0 |
| vs6112129 | 1 | 0 | 0 | 1 |
| ShirleySyh | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#41pluto20272025-08-21 08:07Problems with the loss function
- Issue comment#54Shawn92572025-05-06 02:38How to match vision of mmdet with mmcv or mmcv-full?
- Issue comment#54SORYZheng2025-05-06 02:06How to match vision of mmdet with mmcv or mmcv-full?
- Issue comment#47ShirleySyh2025-02-03 01:47how i can use this in dota datasets
- Issue comment#62rankiih2025-01-23 04:12AssertionError: train_cfg specified in both outer field and model field
- Issue#67mingtianyidingtian2024-12-26 08:48TypeError: SemiDataset: __init__() got an unexpected keyword argument '_delete_'
- Issue comment#62vs61121292024-10-11 19:36AssertionError: train_cfg specified in both outer field and model field
- Issue comment#19X-KL2024-10-11 01:57What is the relationship between samples_per_gpu and workers_per_gpu and sample_ratio？
- Issue comment#19Adamdad2024-10-09 06:20What is the relationship between samples_per_gpu and workers_per_gpu and sample_ratio？
- Issue comment#19huangnana12024-10-09 06:09What is the relationship between samples_per_gpu and workers_per_gpu and sample_ratio？
- Issue comment#64heha1022024-09-30 07:17assert len(indices) == len(self)
- Issue comment#64heha1022024-09-25 10:27assert len(indices) == len(self)
- Issue comment#40heha1022024-09-25 08:18make install
- Issue comment#61MrDec2024-07-11 02:14AttributeError: ConsistentTeacher: 'NoneType' object has no attribute 'num_scores'
- Issue comment#62MrDec2024-07-11 02:12AssertionError: train_cfg specified in both outer field and model field
- Issue comment#64MrDec2024-07-11 02:11assert len(indices) == len(self)
- Issue#64xcx1212024-07-07 05:10assert len(indices) == len(self)
- Issue comment#62HtAgoni2024-05-09 05:59AssertionError: train_cfg specified in both outer field and model field
- Issue#62HtAgoni2024-05-07 02:09AssertionError: train_cfg specified in both outer field and model field
- Issue comment#17X-KL2024-05-05 09:47change detector
- Issue comment#61FLYDust11012024-04-28 12:58AttributeError: ConsistentTeacher: 'NoneType' object has no attribute 'num_scores'
- Issue#61FLYDust11012024-04-28 12:50AttributeError: ConsistentTeacher: 'NoneType' object has no attribute 'num_scores'
- Issue comment#30FLYDust11012024-04-28 11:33Error："DynamicSoftLabelAssigner is not in the bbox_assigner registry:
- Issue comment#59Adamdad2024-03-19 06:418 * v100 parallel training
- Issue#59Re-dot-art2024-03-19 06:128 * v100 parallel training
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 116 stars here means stars gained during the window, not the repo's star count.