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Andrzej Perzanowski

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#machine learning Mar 2026

Scale-invariant Gaussian derivative residual networks

This paper presents provably scale-invariant Gaussian derivative residual networks (GaussDerResNets), constructed out of scale-covariant Gaussian derivative residual blocks coupled in cascade, aimed at addressing the topic of multi-object detection in a provably scale-invariant manner.

Andrzej Perzanowski, Tony Lindeberg · arXiv.org · 0 citations