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Inspired by iterative error feedback in structured prediction, FAPR represents the current segmentation mask as a dynamic failure state and models each repair operation as a state-transition operator, enabling later operations to adapt to preceding changes.
Training robots to assemble parts is easier if you first teach them how to take them apart.