Nikhila Ravi: belief

Transcript context

…I'm just interested in leaving breadcrumbs for other researchers, anyone interested in this kind of architecture. Like, are there papers that you would refer people to that are influential in your thinking or, you know, have, have other interesting alternative approaches? I think there's other ways in which you can do tracking and video. You might not even need the full mask. I think that's it. Some other works that just track like points on objects. It really, really depends on what your application is. Like if you don't care about the entire mask, you could just track a bounding box. You could just track a point on an object. And so having the high fidelity mask might not actually be necessary for certain use cases. From that perspective, you might not need the full capabilities. of SAM or SAM2. There's many different approaches to tracking, I think I would encourage people to think about like what actually they need for their use case and then try to find something that that fits versus, yeah, maybe SAM2 is too much, you know, maybe you don't even need the full mask. Makes total sense, but you have solved the problem that you set out to solve, which is no mean feat, which is something that we're still appreciating even today. If there are no further questions, I would just transition to sort of forward looking, future looking stuff. Joseph already hinted at, like, you know, our interest in SAM and the future of SAM, and obviously you're the best person to ask about that. I'm also interested in, like, How should external people think about FAIR, you know, like there's this stuff going on, this llama, this chameleon, this voice box, this image bind, like, how is, how are things organized? And, you know, where are things trending?…

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