Explain semantic vs instance segmentation and how Mask R-CNN works.
Semantic labels every pixel by class; instance pulls each object apart. The signal is knowing that the first cannot count overlapping objects, why Mask R-CNN adds a mask branch on RoIAlign, and what RoIAlign fixed. Here is the answer.
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Semantic labels every pixel by class; instance pulls each object apart. The signal is knowing that the first cannot count overlapping objects, why Mask R-CNN adds a mask branch on RoIAlign, and what RoIAlign fixed. Here is the answer.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
