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How Many, but How Sure? Class Competition as a Confidence Proxy in Multi-Class Density-Based Counting
Multi-class density estimators can count objects in crowded scenes, but their class-wise outputs offer no indication of how reliably density mass has been allocated. We introduce a training-free confidence proxy based on local competition between the strongest class channels. The resulting prominenc
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