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My favorite titled ml article [1], from 2015, seems to argue for the same conclusion - that it is textures not shapes that drives recognition in CNN [1] “Sudde
by wodenokoto 7y ago
My favorite titled ml article [1], from 2015, seems to argue for the same conclusion - that it is textures not shapes that drives recognition in CNN
[1] “Suddenly, a leopard print sofa appears”, http://rocknrollnerd.github.io/ml/2015/05/27/leopard-sofa.html http://rocknrollnerd.github.io/ml/2015/05/27/leopard-sofa.ht...
- modeless 7y ago> it is textures not shapes that drives recognition in CNN This is a misinterpretation of the paper. It's not CNNs that are biased toward textures, it's the ImageNet dataset. As they prove by training a CNN biased toward shapes, using a modified dataset.
- fxtentacle 7y agoI thought the same. Captain Obvious called a second time. Of course CNNs are still heavily biased towards texture, because nothing has fundamentally changed in the past 5 years.