A self-supervised loss based on background prediction trains proposal-based segmentation networks via Monte Carlo sampling for object detection in novel image appearances.
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Self-supervised Training of Proposal-based Segmentation via Background Prediction
A self-supervised loss based on background prediction trains proposal-based segmentation networks via Monte Carlo sampling for object detection in novel image appearances.