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> What is the cost/benefit in this? Is it appropriate to divert resources to older techniques because we haven't yet figured how to do it in the new way? I too

by josefx 10y ago

> What is the cost/benefit in this? Is it appropriate to divert resources to older techniques because we haven't yet figured how to do it in the new way? I too would like to know why cars have wheels when helicopters have shown that rotors work well. We should have abandoned wheels ages ago since they are clearly old and with that inferior. > Now a child can make an application on its Raspberry Pi, because the new way of doing things is generalizable. And that app will have issues deciding if it sees a couch or a leopard. Or do you expect a child to correctly train its neural net? > The GPU will get cheaper the cloud GPUs will be cheaper. Why again do we have multiple algorithms for sort when a few nested for loops would do? Maybe smart algorithms scale better than hardware ever could. > building chessboards to do rectification of the cameras should not be one of their tasks. And yet we have mars probes with a build in color table. Why do you hate geometry?

antman 10y ago
>I too would like to know why cars have wheels when helicopters have shown that rotors work well. We should have abandoned wheels ages ago since they are clearly old and with that inferior. I said cost/benefit and your example is about an expensive way to do what a car can do. You get some points for speed but lose big points on affordable transportation. The world has settled on the car. > And that app will have issues deciding if it sees a couch or a leopard. Or do you expect a child to correctly train its neural net? It will train a neural net sooner than it will learn 3d computer vision. > And yet we have mars probes with a build in color table. Why do you hate geometry? I said that I was a skeptic against deep learning an in favor of the old ways, so why do you claim that I hate it? Its inadequacy regarding the current and possibly future state of computer vision technology is not an expression of my feelings. Its a mere observation.
- jononor 10y ago
  > I said cost/benefit and your example is about an expensive way to do what a car can do. You get some points for speed but lose big points on affordable transportation. The world has settled on the car. No, the world uses the one that makes sense for the particular circumstance. A few helicopters even have wheels!
- josefx 10y ago
  > I said cost/benefit and your example is about an expensive way to do what a car can do. Sometimes neural net running on a sever rack full of GPUs is also overkill, including the cost/benefit. You get bonus points for buzzwords thought. > It will train a neural net sooner than it will learn 3d computer vision. And you would trust it to run as required? I admire your courage. Unless the person selecting the training data knew what they were doing I wouldn't. I certainly wouldn't trust a child to get it right without being trained itself. > I said that I was a skeptic against deep learning an in favor of the old ways, so why do you claim that I hate it? Your mention against "building chessboards" for basic calibration as if that was in any way hard or even necessary. Calibration of sensors on mars is already a solved problem. I don't understand why you would think otherwise.

by josefx 10y ago

antman 10y ago

>I too would like to know why cars have wheels when helicopters have shown that rotors work well. We should have abandoned wheels ages ago since they are clearly old and with that inferior. I said cost/benefit and your example is about an expensive way to do what a car can do. You get some points for speed but lose big points on affordable transportation. The world has settled on the car. > And that app will have issues deciding if it sees a couch or a leopard. Or do you expect a child to correctly train its neural net? It will train a neural net sooner than it will learn 3d computer vision. > And yet we have mars probes with a build in color table. Why do you hate geometry? I said that I was a skeptic against deep learning an in favor of the old ways, so why do you claim that I hate it? Its inadequacy regarding the current and possibly future state of computer vision technology is not an expression of my feelings. Its a mere observation.

jononor 10y ago
> I said cost/benefit and your example is about an expensive way to do what a car can do. You get some points for speed but lose big points on affordable transportation. The world has settled on the car. No, the world uses the one that makes sense for the particular circumstance. A few helicopters even have wheels!
josefx 10y ago
> I said cost/benefit and your example is about an expensive way to do what a car can do. Sometimes neural net running on a sever rack full of GPUs is also overkill, including the cost/benefit. You get bonus points for buzzwords thought. > It will train a neural net sooner than it will learn 3d computer vision. And you would trust it to run as required? I admire your courage. Unless the person selecting the training data knew what they were doing I wouldn't. I certainly wouldn't trust a child to get it right without being trained itself. > I said that I was a skeptic against deep learning an in favor of the old ways, so why do you claim that I hate it? Your mention against "building chessboards" for basic calibration as if that was in any way hard or even necessary. Calibration of sensors on mars is already a solved problem. I don't understand why you would think otherwise.