DISCO: accurate Discrete Scale Convolutions

4 June 2021

Papers citing "DISCO: accurate Discrete Scale Convolutions"

28 / 28 papers shown

Title
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations Andrzej Perzanowski Tony Lindeberg 45 1 0 17 Sep 2024
Neural Operators with Localized Integral and Differential Kernels Miguel Liu-Schiaffini Julius Berner Boris Bonev Thorsten Kurth Kamyar Azizzadenesheli A. Anandkumar 58 18 0 26 Feb 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 16 7 0 17 Nov 2023
Truly Scale-Equivariant Deep Nets with Fourier Layers Md Ashiqur Rahman Raymond A. Yeh 47 8 0 06 Nov 2023
Color Equivariant Convolutional Networks A. Lengyel Ombretta Strafforello Robert-Jan Bruintjes Alexander Gielisse J. C. V. Gemert 16 4 0 30 Oct 2023
On genuine invariance learning without weight-tying A. Moskalev A. Sepliarskaia Erik J. Bekkers A. Smeulders CML OOD 11 6 0 07 Aug 2023
Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural network Wenzhao Zhao Barbara D. Wichtmann Steffen Albert Angelika Maurer F. G. Zollner Ulrike Attenberger Jurgen Hesser 22 1 0 17 May 2023
Scale-Equivariant Deep Learning for 3D Data Thomas Wimmer Vladimir Golkov H. Dang Moritz Zaiss Andreas K. Maier Daniel Cremers 3DPC MedIm 18 5 0 12 Apr 2023
Rotation-Scale Equivariant Steerable Filters Yi-Lun Yang S. Dasmahapatra S. Mahmoodi 14 3 0 10 Apr 2023
Scale-Equivariant UNet for Histopathology Image Segmentation Yi-Lun Yang S. Dasmahapatra S. Mahmoodi 20 11 0 10 Apr 2023
Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields T. Lindeberg 21 11 0 17 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath A. P. Condurache 16 4 0 02 Mar 2023
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution Zikai Sun T. Blu 13 6 0 01 Mar 2023
Modelling Long Range Dependencies in $N$ D: From Task-Specific to a General Purpose CNN David M. Knigge David W. Romero Albert Gu E. Gavves Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn J. Sonke 3DV 27 21 0 25 Jan 2023
VC dimensions of group convolutional neural networks P. Petersen A. Sepliarskaia VLM 19 7 0 19 Dec 2022
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks Thomas Altstidl A. Nguyen Leo Schwinn Franz Koferl Christopher Mutschler Björn Eskofier Dario Zanca 17 2 0 18 Nov 2022
Scale Equivariant U-Net Mateus Sangalli S. Blusseau Santiago Velasco-Forero Jesús Angulo SSeg 25 12 0 10 Oct 2022
LieGG: Studying Learned Lie Group Generators A. Moskalev A. Sepliarskaia Ivan Sosnovik A. Smeulders 28 22 0 09 Oct 2022
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection Abhinav Kumar Garrick Brazil E. Corona Armin Parchami Xiaoming Liu 3DPC MDE 21 60 0 21 Jul 2022
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction Beliz Gunel Arda Sahiner Arjun D Desai Akshay S. Chaudhari S. Vasanawala Mert Pilanci John M. Pauly MedIm 9 7 0 21 Apr 2022
Dilated convolution with learnable spacings Ismail Khalfaoui-Hassani Thomas Pellegrini T. Masquelier 8 31 0 07 Dec 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 15 8 0 22 Nov 2021
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 26 0 0 18 Nov 2021
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups David M. Knigge David W. Romero Erik J. Bekkers 16 30 0 25 Oct 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 11 23 0 11 Jun 2021
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath A. P. Condurache ViT AI4CE 27 9 0 30 Jun 2020
Siamese Box Adaptive Network for Visual Tracking Zedu Chen Bineng Zhong Guorong Li Shengping Zhang Rongrong Ji 86 662 0 15 Mar 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 151 308 0 05 Nov 2018