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Automatic image and video captioning is in a very sorry state. Machines can't do it. Machine learning is rule based. The difference is just that it creates man
by dilemma 10y ago
Automatic image and video captioning is in a very sorry state. Machines can't do it.
Machine learning is rule based. The difference is just that it creates many more rules for more and more granular cases. But it will never be intelligent, it will always be a dumb digital bureaucrat.
- yjftsjthsd-h 10y agoGiven results from ex. neural networks, ML "rules" appear to be granular and flexible enough that I'm not sure they usefully count as being rules anymore.
- pyrale 10y agoThere are rules in that you're able to create an exhaustive labeled training dataset. The rules may not be generic, but they exist through a specification by example. Beating a human when there is no discoverability to the problem, and when building an exhaustive dataset is a problem in itself is not on the horizon yet.
- webmaven 10y ago> Automatic image and video captioning is in a very sorry state. Machines can't do it. You may have missed various dramatic improvements over the past year: https://scholar.google.com/scholar?as_ylo=2016&q=%22image+captioning%22 https://scholar.google.com/scholar?as_ylo=2016&q=%22image+ca...
- dilemma 10y agoDefinitely haven't. Where is captioning applied with human like accuracy?
- webmaven 10y agoHmm. I suggest that recent SOTA results contradict your contention that the field is in "a very sorry state" and you up the standard to "human like accuracy". Feels like the goalposts are being moved. Anyway, this paper demonstrates some impressive results: https://arxiv.org/pdf/1611.06607v1.pdf https://arxiv.org/pdf/1611.06607v1.pdf