Scale-invariant scale-channel networks: Deep networks that generalise to
previously unseen scales

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Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales

Journal of Mathematical Imaging and Vision (JMIV), 2021

11 June 2021

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Papers citing "Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales"

15 / 15 papers shown

Title
Hybrid Lie semi-group and cascade structures for the generalized Gaussian derivative model for visual receptive fields Tony Lindeberg 21 1 0 19 Sep 2025
Graph Lineages and Skeletal Graph Products Eric Mjolsness Cory Braker Scott AI4CE 75 0 0 31 Jul 2025
GERD: Geometric event response data generation Jens Egholm Pedersen Dimitris Korakovounis Jorg Conradt VGen 197 1 0 04 Dec 2024
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 238 4 0 17 Sep 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 172 9 0 17 Nov 2023
Advancing Perception in Artificial Intelligence through Principles of Cognitive Science Palaash Agrawal Cheston Tan Heena Rathore 144 2 0 13 Oct 2023
SRMAE: Masked Image Modeling for Scale-Invariant Deep RepresentationsChinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2023 Zhiming Wang Lin Gu Feng Lu 134 1 0 17 Aug 2023
Riesz feature representation: scale equivariant scattering network for classification tasksSIAM Journal of Imaging Sciences (JSIS), 2023 Tin Barisin Jesús Angulo K. Schladitz C. Redenbach 161 3 0 17 Jul 2023
Riesz networks: scale invariant neural networks in a single forward passJournal of Mathematical Imaging and Vision (JMIV), 2023 Tin Barisin K. Schladitz C. Redenbach 117 13 0 08 May 2023
Scale-Equivariant Deep Learning for 3D Data Thomas Wimmer Vladimir Golkov H. Dang Moritz Zaiss Andreas Maier Zorah Lähner 3DPC MedIm 131 7 0 12 Apr 2023
Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fieldsFrontiers in Computational Neuroscience (Front. Comput. Neurosci.), 2023 T. Lindeberg 235 16 0 17 Mar 2023
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2022 Thomas Altstidl A. Nguyen Leo Schwinn Franz Koferl Christopher Mutschler Björn Eskofier Dario Zanca 153 2 0 18 Nov 2022
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object DetectionEuropean Conference on Computer Vision (ECCV), 2022 Abhinav Kumar Garrick Brazil E. Corona Armin Parchami Xiaoming Liu 3DPC MDE 140 66 0 21 Jul 2022
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization Sam Buchanan Jingkai Yan Ellie Haber John N. Wright 149 3 0 09 Mar 2022
DeepSITH: Efficient Learning via Decomposition of What and When Across Time ScalesNeural Information Processing Systems (NeurIPS), 2021 Brandon G. Jacques Zoran Tiganj Marc W Howard P. Sederberg 73 8 0 09 Apr 2021