DenseScout is a lightweight dense-response selector that outperforms detector-based baselines for budgeted tiny-object patch selection on edge platforms, with end-to-end utility depending on both selector quality and runtime efficiency.
Deep learning-based building change detection in off-nadir images via a pixel-wise and patch-wise fusion strategy.Transactions in GIS, 29:e70020
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DenseScout: Algorithm-System Co-design for Budgeted Tiny Object Selection on Edge Platforms
DenseScout is a lightweight dense-response selector that outperforms detector-based baselines for budgeted tiny-object patch selection on edge platforms, with end-to-end utility depending on both selector quality and runtime efficiency.