2 papers
cs.CV2026
Scale-invariant Gaussian derivative residual networks
Andrzej Perzanowski, Tony Lindeberg
Generalisation across image scales remains a fundamental challenge for deep networks, which often fail to handle images at scales not seen during training (the out-of-distribution…
cs.CV2025
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations
Andrzej Perzanowski, Tony Lindeberg
This paper presents an in-depth analysis of the scale generalisation properties of the scale-covariant and scale-invariant Gaussian derivative networks, complemented with both conc…