How can I utilize sublabels to train my mask R-CNN with sublabel accuracy?
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In the videoLabeler, MATLAB allows sublabeling parts within an object, e.g. headlights on a vehicle.
How is this sublabelling utilized for training a network to recognize the objects and their parts?
Is there any implementation for the training with sublabels in MATLAB now?
Thank you!
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