(NeurIPS2023) CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
active 2023-10-25 → 2025-12-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 796 days from 2023-10-25 to 2025-12-28. Pushes: 17 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 24 total, peak 4 in a day. Comments: 44 total, peak 7 in a day. Stars: 74 total, peak 7 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 |
|---|---|---|---|---|
| machuofan | 46 | 17 | 0 | 21 |
| junnnxie | 6 | 0 | 0 | 3 |
| sssssshf | 3 | 0 | 0 | 1 |
| Dwrety | 3 | 0 | 0 | 2 |
| zhangyupeng123 | 3 | 0 | 0 | 2 |
| LinSY546749 | 3 | 0 | 0 | 2 |
| Parsifal133 | 3 | 0 | 0 | 1 |
| kkeono2 | 2 | 0 | 0 | 2 |
| kinredon | 2 | 0 | 0 | 2 |
| taoxinlily | 2 | 0 | 0 | 1 |
| nikhil-mathew-td | 2 | 0 | 0 | 1 |
| HeChengHui | 2 | 0 | 0 | 1 |
| Wuzhongze | 2 | 0 | 0 | 1 |
| Gptao | 1 | 0 | 0 | 1 |
| gintmr | 1 | 0 | 0 | 0 |
| seermer | 1 | 0 | 0 | 1 |
| liang315 | 1 | 0 | 0 | 0 |
| gigasurgeon | 1 | 0 | 0 | 1 |
| lipingsmile | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#23liang3152024-12-31 01:45RPN
- Issue#22sssssshf2024-12-10 07:45train error
- Issue#21sssssshf2024-12-10 01:45file not found "datasets/coco/zero-shot/instances_train2017_seen_2_oriorder_cat_info.json"
- Issue comment#9sssssshf2024-12-05 01:20Where is instances_train2017_seen_2_oriorder_cat_info.json？
- Issue#19gintmr2024-10-17 07:46Where should I find the core part code
- Issue comment#18kinredon2024-10-16 04:37Why not use the text guidance for the OV-LVIS setting in the config?
- Issue comment#17machuofan2024-10-14 05:18The working mechanism of the classifier
- Issue comment#17zhangyupeng1232024-10-10 03:25The working mechanism of the classifier
- Issue comment#17zhangyupeng1232024-10-09 04:16The working mechanism of the classifier
- Issue comment#18machuofan2024-09-20 04:16Why not use the text guidance for the OV-LVIS setting in the config?
- Issue comment#18kinredon2024-09-13 18:19Why not use the text guidance for the OV-LVIS setting in the config?
- Issue comment#17machuofan2024-09-01 14:28The working mechanism of the classifier
- Issue#17zhangyupeng1232024-08-30 06:54The working mechanism of the classifier
- Issue#16machuofan2024-05-22 03:06LVIS uses 866 base classes during training, but does it use the complete 1203 classes for verification?
- Issue comment#16machuofan2024-05-22 03:06LVIS uses 866 base classes during training, but does it use the complete 1203 classes for verification?
- Issue comment#16Wuzhongze2024-05-21 03:45LVIS uses 866 base classes during training, but does it use the complete 1203 classes for verification?
- Issue#16Wuzhongze2024-05-21 03:04LVIS uses 866 base classes during training, but does it use the complete 1203 classes for verification?
- Issue#14machuofan2024-04-27 05:28How to infer on own data?
- Issue comment#14HeChengHui2024-04-01 06:12How to infer on own data?
- Issue comment#13machuofan2024-03-31 12:32How to run CoDet on custom dataset?
- Issue comment#13LinSY5467492024-03-30 12:17How to run CoDet on custom dataset?
- Issue comment#13machuofan2024-03-30 09:33How to run CoDet on custom dataset?
- Issue comment#13LinSY5467492024-03-29 14:08How to run CoDet on custom dataset?
- Issue comment#14machuofan2024-03-29 10:03How to infer on own data?
- Issue#14HeChengHui2024-03-27 07:44How to infer on own data?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 74 stars here means stars gained during the window, not the repo's star count.