Sam

“And we find that actually SAM-II is a lot better than SAM when it comes to segmenting objects in video frames, because they actually have a sort of slightly different distribution than images.”

“We started with just SAM. We apply SAM per frame. That's like the most basic way of extending SAM to video. Then the most obvious thing to do is to take the output masks from SAM and then provide it as input into a video object segmentation model that takes th…”

“Actually Sam is having so much impact in medicine, probably more than I could have ever had as a doctor myself.”

“And in terms of the efficiency compared to SAM, so if we were to run SAM per frame on a video or run SAM two, it's around six times faster to run SAM two versus run SAM per frame.”

“So as you've probably seen with SAM and SAM-II, it's a fairly narrow problem, but we really try to make it a step change in the capability. And so with each Version. We are trying to limit the focus on one thing that we can know we can do really well. And in t…”

“SAM-I model was around six hundred and thirty million parameters, a fraction of the size of these large language models, but very small. Actually SAM-II, the largest model is around two hundred and twenty-four million parameters. There's actually One third the…”

“SAM for us has saved our users 75 years of labeling time.”

“SAM replaced that with a hierarchical encoder, which gets approximately the same results, but leads to a six times faster inference, which is excellent, especially considering how in a trend of 23 was replacing the VIT with more efficient backbones.”

“We do not have, kind of, we have this kind of decoupled approach, but we do not end-to-end train this model. And we expect definitely kind of, it will be kind of a benefit from kind of end-to-end training.”

“And we've seen basically a hundred and six million kind of smart poly created examples that are SAM one, two, or three powered.”