AI RESEARCH
DenseScout: Algorithm-System Co-design for Budgeted Tiny Object Selection on Edge Platforms
arXiv CS.CV
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ArXi:2604.25300v1 Announce Type: new Deploying tiny object perception on edge platforms is challenging because practical systems must satisfy both strict compute budgets and end-to-end latency constraints. A common strategy is to first select a small number of candidate patches from a high-resolution image and then apply downstream processing only to the selected regions.