Methods › Computer Vision › Object Detection Models › DAMO-YOLO
DAMO-YOLO
Introduced by Xianzhe Xu et al. in DAMO-YOLO : A Report on Real-Time Object Detection Design
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The archive carries no description for this method.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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DAMO-YOLO : A Report on Real-Time Object Detection Design 23 Nov 2022 · 3 repositories · arXiv:2211.15444Syntology ran 1 of 12 samples · 11 unverified · 12 pointer-only (licence)
Tasks archive 2025-07-28
5 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| CPU | 1 |
| Neural Architecture Search | 1 |
| Object Detection | 1 |
| Real-Time Object Detection | 1 |
| object-detection | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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