Formula-generated hollow masks (InsCore) outperform real-image pre-training datasets and fine-tuned SAM on five industrial instance segmentation benchmarks using only 100,000 synthetic images.
Learning semantic segmentation from synthetic data: A geometrically guided input-output adaptation approach
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Industrial Synthetic Segment Pre-training
Formula-generated hollow masks (InsCore) outperform real-image pre-training datasets and fine-tuned SAM on five industrial instance segmentation benchmarks using only 100,000 synthetic images.