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It is meaningful if the US is ahead of any cooperating bloc of powers in any covered area of image recognition. This is much broader than being ahead of specifi

It is meaningful if the US is ahead of any cooperating bloc of powers in any covered area of image recognition. This is much broader than being ahead of specifically China on the whole. For it to not be true would essentially imply that no new research is happening in the US.

tomc1985 7y ago
I doubt the US is ahead in this area. China gains heaps upon heaps or practical experience in CV by sheer virtue of the breadth of its surveillance networks. Not to say we aren't doing the same here in the US, but efforts seem to be much more scattered
- Tempest1981 7y ago
  I can see the surveillance network providing vastly more training data. But isn't that orthogonal with developing the algorithms? Or is it that training data provides experience, which improves the algorithms? Or the application of the algorithms?
  - whoevercares 7y ago
    It’s a positive loop. More effective surveillance network -> Larger investment (from government or government contract) -> more application/startup/new programs -> more research funding/aggressive hiring -> higher recognition for CV/ML researchers/Engineers -> More and more people doing CV/ML -> More data, algorithms and applications-> more effective surveillance network. Btw it got deployed at scale in real world which is a huge advantage for progressing any CVML research Not to mention nowadays Deep learning is pretty much a big data game.
  - tomc1985 7y ago
    It's not just availability of data for training networks; I was mainly referring to practical engineering know-how built by field experience
  - sangnoir 7y ago
    > But isn't that orthogonal with developing the algorithms? Assuming it is - China is also competitive on developing algorithms. A few months ago there was a post on explosion of AI papers submitted by authors at Chinese research institutions, with no signs of slowing down.

tomc1985 7y ago

I doubt the US is ahead in this area. China gains heaps upon heaps or practical experience in CV by sheer virtue of the breadth of its surveillance networks. Not to say we aren't doing the same here in the US, but efforts seem to be much more scattered

Tempest1981 7y ago
I can see the surveillance network providing vastly more training data. But isn't that orthogonal with developing the algorithms? Or is it that training data provides experience, which improves the algorithms? Or the application of the algorithms?
- whoevercares 7y ago
  It’s a positive loop. More effective surveillance network -> Larger investment (from government or government contract) -> more application/startup/new programs -> more research funding/aggressive hiring -> higher recognition for CV/ML researchers/Engineers -> More and more people doing CV/ML -> More data, algorithms and applications-> more effective surveillance network. Btw it got deployed at scale in real world which is a huge advantage for progressing any CVML research Not to mention nowadays Deep learning is pretty much a big data game.
- tomc1985 7y ago
  It's not just availability of data for training networks; I was mainly referring to practical engineering know-how built by field experience
- sangnoir 7y ago
  > But isn't that orthogonal with developing the algorithms? Assuming it is - China is also competitive on developing algorithms. A few months ago there was a post on explosion of AI papers submitted by authors at Chinese research institutions, with no signs of slowing down.