4 ms·
I don’t think this is a novel idea, but it is still a great topic for a PhD. While the results in this paper look impressive, my suspicion is that the system do
by simonster 8y ago
I don’t think this is a novel idea, but it is still a great topic for a PhD. While the results in this paper look impressive, my suspicion is that the system doesn’t generalize particularly well. (I suspect this from experience with similar, albeit simpler, ideas, as well as from looking at the datasets.) If you can make a system that generalizes to new environments and objects, or a system that works with real-world natural image/video data, that would be a tremendous accomplishment.
- knolan 8y ago> I don’t think this is a novel idea, but it is still a great topic for a PhD. Novelty is usually a requirement for a PhD project.
- tome 8y agoFor a result not a project, and certainly not a topic!
- amelius 8y agoGeneralization is a more fundamental problem, and (imho) should be tackled first at a more fundamental level. For example, if you have a classifier that can recognize cats, it doesn't mean it will work for cartoon cats. You'd have to train the system all over again with cartoon cats. Instead, you want the system to learn more like humans, where only a small number of examples is necessary to make the connection between real and cartoon cats.
- simonster 8y agoIt is possible that the problems are related—-it may be that, to achieve human-like generalization, neural nets need to learn in a human-like environment, instead of from a folder full of images. But time will tell.
- igravious 8y agoThis has been said many times in different ways over the years. To achieve human-like intelligence one needs a human-like body operating in a human-like environment. It's the first of the E's in: embodied emergent extended enactive. https://plato.stanford.edu/entries/embodied-cognition/ https://plato.stanford.edu/entries/embodied-cognition/