Scale Equivariant U-Net

Scale Equivariant U-Net

British Machine Vision Conference (BMVC), 2022

10 October 2022

Mateus Sangalli

Santiago Velasco-Forero

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Papers citing "Scale Equivariant U-Net"

7 / 7 papers shown

Title
Hybrid Lie semi-group and cascade structures for the generalized Gaussian derivative model for visual receptive fields Tony Lindeberg 73 1 0 19 Sep 2025
Modelling and analysis of the 8 filters from the "master key filters hypothesis" for depthwise-separable deep networks in relation to idealized receptive fields based on scale-space theory Tony Lindeberg Z. Babaiee Peyman M. Kiasari 91 1 0 16 Sep 2025
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variationsJournal of Mathematical Imaging and Vision (JMIV), 2024 Andrzej Perzanowski Tony Lindeberg 373 4 0 17 Sep 2024
HyperSpace: Hypernetworks for spacing-adaptive image segmentation Samuel Joutard Maximilian Pietsch Raphael Prevost 187 6 0 04 Jul 2024
Approximation properties relative to continuous scale space for hybrid discretizations of Gaussian derivative operatorsFrontiers in Signal Processing (FSP), 2024 Tony Lindeberg 258 5 0 08 May 2024
Unified theory for joint covariance properties under geometric image transformations for spatio-temporal receptive fields according to the generalized Gaussian derivative model for visual receptive fields Tony Lindeberg 264 12 0 17 Nov 2023
What Affects Learned Equivariance in Deep Image Recognition Models? Robert-Jan Bruintjes Tomasz Motyka Jan van Gemert 276 11 0 05 Apr 2023