[CVPR 2022 Oral] QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection
active 2023-08-17 → 2026-03-13 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 940 days from 2023-08-17 to 2026-03-13. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 22 total, peak 4 in a day. Comments: 36 total, peak 5 in a day. Stars: 87 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 |
|---|---|---|---|---|
| nooneAB | 11 | 0 | 0 | 8 |
| liuw20 | 7 | 0 | 0 | 2 |
| judycpChen | 5 | 0 | 0 | 3 |
| 23jisuper | 4 | 0 | 0 | 3 |
| shaoyandea | 4 | 0 | 0 | 2 |
| lebron-2016 | 3 | 0 | 0 | 2 |
| xuwanzhuang | 3 | 0 | 0 | 2 |
| pkuj103 | 2 | 0 | 0 | 2 |
| zjh-lgtm | 2 | 0 | 0 | 0 |
| BJT703 | 2 | 0 | 0 | 2 |
| qidudu | 2 | 0 | 0 | 2 |
| ChenhongyiYang | 2 | 0 | 0 | 2 |
| yuwentao88 | 2 | 0 | 0 | 2 |
| hefangnan | 2 | 0 | 0 | 1 |
| kaifeng0306 | 1 | 0 | 0 | 0 |
| mahilaMoghadami | 1 | 0 | 0 | 1 |
| LaplaceSama | 1 | 0 | 0 | 0 |
| wisan-dhammatorn | 1 | 0 | 0 | 0 |
| 20191661 | 1 | 0 | 0 | 1 |
| wenxi2 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#100yuwentao882025-08-20 01:42about time consuming when training and test with query
- Issue comment#100yuwentao882025-08-20 01:38about time consuming when training and test with query
- Issue#106zjh-lgtm2025-08-19 04:44test problem
- Issue#105zjh-lgtm2025-08-18 10:49cuda
- Issue#95nooneAB2024-08-23 03:17Hello, the AP result I gave after training with the default settings is quite low, only 0.XXXX data, not even 1, I want to know where my reason appears
- Issue#103nooneAB2024-08-23 02:15About the gap in results on Visdrone
- Issue comment#90pkuj1032024-07-09 06:46attribute:'torch.device' object has no attribute 'device'
- Issue comment#90pkuj1032024-07-09 06:36attribute:'torch.device' object has no attribute 'device'
- Issue#102wisan-dhammatorn2024-07-06 09:32How to visualize query heatmap from test image
- Issue#101wenxi22024-06-30 12:50reg loss function
- Issue comment#90nooneAB2024-06-11 02:47attribute:'torch.device' object has no attribute 'device'
- Issue comment#90201916612024-06-11 02:44attribute:'torch.device' object has no attribute 'device'
- Issue#100shaoyandea2024-06-05 05:48about time consuming when training and test with query
- Issue comment#97shaoyandea2024-06-05 01:06Hi, we have recently updated a new VisDrone training config (gradient clip added), which can avoid NaN now.
- Issue comment#98lebron-20162024-06-04 02:11A question about the efficiency of 2D sparse operations
- Issue comment#40lebron-20162024-06-02 07:58loss nan!
- Issue#98lebron-20162024-06-02 07:42A question about the efficiency of 2D sparse operations
- Issue comment#40shaoyandea2024-05-31 01:22loss nan!
- Issue#97shaoyandea2024-05-31 01:18Hi, we have recently updated a new VisDrone training config (gradient clip added), which can avoid NaN now.
- Issue#96liuw202024-05-10 06:16Does the environment configuration affect the experimental results?
- Issue#96liuw202024-05-10 06:16Does the environment configuration affect the experimental results?
- Issue#96liuw202024-05-10 06:16Does the environment configuration affect the experimental results?
- Issue comment#96liuw202024-05-10 06:15Does the environment configuration affect the experimental results?
- Issue comment#96liuw202024-05-10 03:58Does the environment configuration affect the experimental results?
- Issue#96liuw202024-05-10 03:57Does the environment configuration affect the experimental results?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 87 stars here means stars gained during the window, not the repo's star count.