It would be great to have this for image search!
It will revolutionize porn search, for sure.
unfortunately came to the same conclusion. could be a serious buzz kill though when it is wrong.
Neural Networks That Describe Images
31–40 of 63 posts
Re: Neural Networks That Describe Images
#32Something doesn't seem right. If we are this good in image recognition, how come we are still using captchas?
Are we so good in image recognition that it can identify young girl, bunch of bananas, guitar etc just by training it from an image set of just few thousand image. Whats the catch ?
On one hand google says their self-driving car can't understand all the situations on the road while this algorithm can identify so many details from an image like a strong AI would. Feels very strange.
Re: Neural Networks That Describe Images
#33Fascinating that we've come this far, also: http://xkcd.com/1425/
Re: Neural Networks That Describe Images
#34Fascinating that we've come this far, also: http://xkcd.com/1425/
Well, five years probably already passed since the comic release, so it isn't surprising.
Re: Neural Networks That Describe Images
#35Something doesn't seem right. If we are this good in image recognition, how come we are still using captchas? Are we so good in image recognition that it can identify young girl, bunch of bananas, guitar etc just by training it from an image set of just few thousand image. Whats the catch ? On one hand google says their self-driving car can't understand all the situations on the road while this algorithm can identify…
These images are probably cherry picked as the most successful recognitions. We need more data until we can say whether it can actually recognize young girls in images confidently, or just sometimes gets "lucky". That's why they say that not all traffic situations can be understood. The algorithms aren't perfect.
Re: Neural Networks That Describe Images
#36Something doesn't seem right. If we are this good in image recognition, how come we are still using captchas? Are we so good in image recognition that it can identify young girl, bunch of bananas, guitar etc just by training it from an image set of just few thousand image. Whats the catch ? On one hand google says their self-driving car can't understand all the situations on the road while this algorithm can identify…
These images are probably cherry picked as the most successful recognitions. We need more data until we can say whether it can actually recognize young girls in images confidently, or just sometimes gets "lucky". That's why they say that not all traffic situations can be understood. The algorithms aren't perfect.
They are using neural networks so they are never going to confidently say in what situations it will stop working.
Re: Neural Networks That Describe Images
#37I'm a bit skeptic. They have several very good examples, and those are really impressive. Everything about how often these striking results occur is 'coming soon' though. And since it is neural network-based, being lucky sometimes doesn't say anything about the statistical performance. What percentage of the test dataset was labelled correctly?
Re: Neural Networks That Describe Images
#38Before going through on object recognition in images, I'm curious about how they managed to arrange perfect sentence for the caption.
Are we already at the point where NN can arrange perfect sentence when we throw bunch of words into it?
Re: Neural Networks That Describe Images
#39I'm a bit skeptic. They have several very good examples, and those are really impressive. Everything about how often these striking results occur is 'coming soon' though. And since it is neural network-based, being lucky sometimes doesn't say anything about the statistical performance. What percentage of the test dataset was labelled correctly?
I'd like to see the worst-case behaviour too - e.g. hilariously wrong results. Seeing the failures (and their rate) makes it more believable and enables a more unbiased evaluation of the capabilities of the system.
It's like those "up to XX% better" claims - "up to", not "at least" being the key phrase here.
Re: Neural Networks That Describe Images
#40Before going through on object recognition in images, I'm curious about how they managed to arrange perfect sentence for the caption. Are we already at the point where NN can arrange perfect sentence when we throw bunch of words into it?
Yes, there is a recent trend to use Recurrent Neural Networks to model the structure and semantics of sentences. This used in particular to do research for Machine Translation by people at Google and the University of Montreal in particular: http://scholar.google.fr/scholar?q=rnn+lstm+machine+translat...