5 ms·
DETRs Beat YOLOs on Real-Time Object Detection
- GaggiX 2y agoJust to clarify this paper was released in April 2023.
- isoprophlex 2y agoGood to see some progress in the space, as NMS always felt like a very hacky solution to me. Also good that the YOLO moniker is being challenged. After pjreddie went off to do better things, I've always felt a bit sad about random parties co-opting the YOLO name. And then with Ultralyics and their weird approach to monetizing YOLOv8 "yeah uh so it's open source but if you actually train a model plz fork over your money)... not a nice look.
- eddiewithzato 2y agothought he quit because didn’t want to become complacent in his work being used in wars, oppressive regimes, etc.
- hprotagonist 2y agoyes. lack of that complicity seemed like “better things” to him, i think.
- isoprophlex 2y agoExactly, the man's a hero in my book.
- hprotagonist 2y agosomeone watched "Real Genius", learned what was needed, and pulled a Lazlo Hollyfeld.
- wongarsu 2y agoThe upside of Ultralytic's monetization is that the tooling is top-notch. You really can fine tune a model in about three lines of code, train a model from scratch just as easily, and run inference with ease. And all with decent documentation. For my use cases I prefer great AGPL (with optional commercial license) tooling over the free good-enough-for-the-paper-but-not-practical-applications tooling you get with most computer vision projects (including this one).
- imjonse 2y agoYOLO 9 and YOLO 10 were both published after this paper and according to them they are better than RTDETR.
- wongarsu 2y agoAnd interestingly YOLO 10 also got rid of NMS https://docs.ultralytics.com/models/yolov10/ https://docs.ultralytics.com/models/yolov10/
- deleted 2y ago[deleted]