Methods › Computer Vision › Object Detection Models › RTMDet
RTMDet: An Empirical Study of Designing Real-Time Object Detectors
RTMDet
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The archive carries only a placeholder description for this method.
Papers archive 2025-07-28
5 shown of 5, 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.
-
Replication Study and Benchmarking of Real-Time Object Detection Models 11 May 2024 · 1 repository · arXiv:2405.06911
-
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery 3 Apr 2024 · 1 repository · arXiv:2404.02877
-
YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection 10 Aug 2023 · 1 repository · arXiv:2308.05480
-
PathRTM: Real-time prediction of KI-67 and tumor-infiltrated lymphocytes 23 Apr 2023 · 0 repositories · arXiv:2305.00223
-
RTMDet: An Empirical Study of Designing Real-Time Object Detectors 14 Dec 2022 · 14 repositories · arXiv:2212.07784Syntology ran 3 of 20 samples · 17 unverified
Tasks archive 2025-07-28
17 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
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