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Vary background color

Open leapingllamas opened this issue 5 years ago • 1 comments

@fchollet An intelligent agent should be able to recognize focal objects versus background, even if background color might vary among training examples.

There are various examples of deep-learned systems that recognize B&W digits well but fail spectacularly when colors are simply inverted. I would like to see an intelligent ARC-solver that is robust to this.

All the ARC examples I have seen so far have black backgrounds. Thus, I propose that ARC is augmented with examples with different background colors, sometimes yellow, sometimes white etc.

leapingllamas avatar Nov 17 '19 18:11 leapingllamas

No! Don't make it even harder...!

Although there are some tasks included already that require you to detect shapes in colored 'noise'; e.g. 1c786137.

gosuto-inzasheru avatar Mar 12 '20 08:03 gosuto-inzasheru