11. A method as claim 9 recites, wherein the candidate segment masks overlap the ground-truth bounding box at least in part as a degree of overlap.
9. A method, comprising: receiving an input image; generating candidate segment masks based at least in part on the input image; and performing an initial training operation comprising: ranking the candidate segment masks to generate ranked candidate segment masks; selecting a set of the ranked candidate segment masks to generate a set of the ranked candidate segment masks; selecting a mask of the set of the ranked candidate segment masks as a selected mask; and training a neural network by applying the selected-mask of the set of the ranked candidate segment masks to the neural network.