To researchers’ surprise, deep learning vision algorithms often fail at classifying images because they mostly take cues from textures, not shapes. When you look at a photograph of a cat, chances are ...
Shapes are everywhere. If you look around, you may be able to see circles, squares and even triangles in the furniture or the flooring. If you step outside, into a garden, park or even the grounds at ...
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