BPU-Net: a precise grain image segmentation method based on bidirectional skip connections and continuous VI loss

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: Math.pow((value255 + 14.025) / 269.025, 2.4);

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it just works. no special machinery needed. the boolean operators distribute over derivatives the same way union does. derivatives are such a powerful and interesting tool that i will dedicate a separate post to them, but the main point is that they give us a simple and uniform way to handle all regular language features, including intersection and complement.

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