Johnson: 2026 Will Be the Year YOLO Dies
“Ok, my prediction for twenty-twenty-six is it will be the year that YOLO dies. We will begin transforming ourselves from a you only live once to don't die.”
Ramade: Base AI capabilities are becoming commoditized APIs
“Base cognitive functions are just becoming available as an API. So like vision is just going to be available. We shouldn't work on a vision problem, like go fine tune like a Yolo or whatever. VLM is your favorite.”
Robinson: DETRs are replacing YOLO in real-time object detection
“And then also how debtors are starting to take over the real time object detection scene from YOLOs which have been dominant for years.”
Robinson: YOLO architectures have hit a performance plateau
“So, for years, yellows have been the dominant way of doing real time object detection, and we can see here that they've essentially stagnated. The performance between 10 and 11 is not meaningfully different. At least, you know, in, in this type of high level c…”
Robinson: D-FINE models achieve +4.6 AP over YOLO at equivalent latency
“So, we can look here and see the yellow series has this plateau and then these RT debtor, LW debtor and define have meaningfully changed that plateau so that in fact the best defined models are plus 4.6 AP on Coco at the same latency.”
Robinson: Factoring in NMS Latency Shows DETRs Outperform YOLO
“Once you include the NMS in the latency calculation, you see that, in fact, these debtors are outperforming, at least at this time, the yellows that existed.”
Robinson: YOLO and real-time detectors historically gained little from pre-training
“And the other thing is, until recently, the real time object detectors didn't even really benefit from pre-training. Like, you see the Yolos that are, like, essentially saturated showing very little difference with pretraining improvements with using pretraine…”