The state of Computer Vision and AI: we are really, really far (2012)

Re:The state of Computer Vision and AI: we are really, reall... by emddudley on Thursday May 07, 2015 @08:09AM (#9504467)

Advances in computer vision are being made every day. Image understanding is a big challenge, and the way we tackle big challenges is in little steps.

I was impressed by some video segmentation and object classification results that Microsoft showed off the other day at its Ignite conference. We're a lot farther along than some people realize.

Picture here: https://twitter.com/MS_Ignite/status/595365048547180545

Video clip at the 1:02:00 mark: https://channel9.msdn.com/Events/Ignite/2015/KEY02

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Re:The state of Computer Vision and AI: we are really, reall... by balakk on Thursday May 07, 2015 @09:50AM (#9504985)

In fact, this blog author had published a paper pretty recently on scene understanding.

http://cs.stanford.edu/people/karpathy/deepimagesent/

This got a lot of press:

http://www.nytimes.com/2014/11/18/science/researchers-announ...

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Re:The state of Computer Vision and AI: we are really, reall... by colincsl on Thursday May 07, 2015 @09:28AM (#9504852)

You're right that the video looks very impressive. However, I'm hesitant to believe that this actually works as well as one might perceive. In this area (called semantic segmentation in the computer vision world) it is common for a people to highlight both the good cases (where the labels/segmentation are correct) and the bad cases (where they are incorrect). In the MS video they only show the good. It's easy to cherry-pick examples where it works -- even if the overall accuracy is very low.

Furthermore, I don't know which dataset they're using. Perhaps it only works on a small set of objects such as those shown in the video.

I don't mean to knock their results but it will still take time to get this to work on a more broad set of videos.

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