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Well I'm sorry but I think more is going on than the article describes. For example the red pickup truck. There is no way the algorithm could create that model
by pasta 9y ago
Well I'm sorry but I think more is going on than the article describes.
For example the red pickup truck. There is no way the algorithm could create that model from that image only (depth of the trunk).
So my guess is that they use the tiny picture to search a database for similar pictures and then create a model with all that data.
- middleman90 9y agoI agree. I think that the AI has knowledge of those objects. The fact that all the objects are symmetric (at least in the examples) helps a lot.
- blauditore 9y agoThe linked paper talks about CNNs in its abstract, so those were probably trained with such samples and thus have that knowledge baked in.
- 31reasons 9y agoIf you see a photo of an object that you have never seen in your life and have no analogy to draw from, it will indeed be very hard for you to accurately guess its volume. However as humans we come across millions of objects to learn from. Same way you can train a neural network to learn from millions of objects and that would enable them to make similar guesses. If this algorithm manages to be as good as humans in estimating volumes of everyday objects, I can see it being helpful in Self Driving Cars.