Deep Scale-spaces: Equivariance Over Scale

28 May 2019

Papers citing "Deep Scale-spaces: Equivariance Over Scale"

50 / 61 papers shown

Title
AdS-GNN -- a Conformally Equivariant Graph Neural Network Maksim Zhdanov Nabil Iqbal Erik Bekkers Patrick Forré 19 1 0 19 May 2025
Inversion of Magnetic Data using Learned Dictionaries and Scale Space Shadab Ahamed Simon Ghyselincks Pablo Chang Huang Arias Julian Kloiber Yasin Ranjbar Jingrong Tang N. Zakariaei Eldad Haber AI4CE 66 0 0 08 Feb 2025
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 36 0 0 07 Oct 2024
Feature-Centered First Order Structure Tensor Scale-Space in 2D and 3D Pawel Tomasz Pieta Anders Bjorholm Dahl J. Frisvad Siavash Bigdeli Anders Christensen 24 2 0 20 Sep 2024
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations Andrzej Perzanowski Tony Lindeberg 53 1 0 17 Sep 2024
Approximation properties relative to continuous scale space for hybrid discretizations of Gaussian derivative operators Tony Lindeberg 36 2 0 08 May 2024
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 48 2 0 06 Oct 2023
Learning Lie Group Symmetry Transformations with Neural Networks Alex Gabel Victoria G Klein Riccardo Valperga J. Lamb K. Webster Rick Quax E. Gavves 33 5 0 04 Jul 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 54 2 0 31 May 2023
Rotation-Scale Equivariant Steerable Filters Yi-Lun Yang S. Dasmahapatra S. Mahmoodi 30 3 0 10 Apr 2023
Scale-Equivariant UNet for Histopathology Image Segmentation Yi-Lun Yang S. Dasmahapatra S. Mahmoodi 28 12 0 10 Apr 2023
Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields T. Lindeberg 29 11 0 17 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath Alexandru Paul Condurache 18 4 0 02 Mar 2023
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution Zikai Sun T. Blu 27 6 0 01 Mar 2023
Scale-aware neural calibration for wide swath altimetry observations Q. Febvre C. Ubelmann Julien Le Sommer Ronan Fablet 24 4 0 09 Feb 2023
MorphPool: Efficient Non-linear Pooling & Unpooling in CNNs R. Groenendijk Leo Dorst Theo Gevers 19 3 0 25 Nov 2022
Homomorphic Self-Supervised Learning Thomas Anderson Keller Xavier Suau Luca Zappella SSL 21 2 0 15 Nov 2022
A tradeoff between universality of equivariant models and learnability of symmetries Vasco Portilheiro 40 2 0 17 Oct 2022
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? Henry Kvinge Tegan H. Emerson Grayson Jorgenson Scott Vasquez T. Doster Jesse D. Lew 51 8 0 07 Oct 2022
Analysis of (sub-)Riemannian PDE-G-CNNs Gijs Bellaard Daan Bon Gautam Pai B. Smets R. Duits AI4CE 32 12 0 03 Oct 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling Jayesh K. Gupta Johannes Brandstetter AI4CE 61 120 0 30 Sep 2022
Maximum Class Separation as Inductive Bias in One Matrix Tejaswi Kasarla Gertjan J. Burghouts Max van Spengler Elise van der Pol Rita Cucchiara Pascal Mettes 26 22 0 17 Jun 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 22 7 0 21 Apr 2022
Relaxing Equivariance Constraints with Non-stationary Continuous Filters Tycho F. A. van der Ouderaa David W. Romero Mark van der Wilk 29 33 0 14 Apr 2022
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems Julián Tachella Dongdong Chen Mike Davies SSL 27 24 0 23 Mar 2022
Similarity Equivariant Linear Transformation of Joint Orientation-Scale Space Representations Xinhua Zhang L. Williams 29 2 0 13 Mar 2022
Sample Efficiency of Data Augmentation Consistency Regularization Shuo Yang Yijun Dong Rachel A. Ward Inderjit S. Dhillon Sujay Sanghavi Qi Lei AAML 31 17 0 24 Feb 2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations Alexander Immer Tycho F. A. van der Ouderaa Gunnar Rätsch Vincent Fortuin Mark van der Wilk BDL 41 44 0 22 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath Alexandru Paul Condurache 25 8 0 08 Feb 2022
Symmetry-aware Neural Architecture for Embodied Visual Navigation Shuang Liu Takayuki Okatani 34 1 0 17 Dec 2021
Dilated convolution with learnable spacings Ismail Khalfaoui-Hassani Thomas Pellegrini T. Masquelier 28 31 0 07 Dec 2021
Co-domain Symmetry for Complex-Valued Deep Learning Utkarsh Singhal Yifei Xing Stella X. Yu 33 12 0 02 Dec 2021
Implicit Equivariance in Convolutional Networks Naman Khetan Tushar Arora S. U. Rehman D. K. Gupta 31 4 0 28 Nov 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 27 8 0 22 Nov 2021
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 30 0 0 18 Nov 2021
Self-Supervised Learning Disentangled Group Representation as Feature Tan Wang Zhongqi Yue Jianqiang Huang Qianru Sun Hanwang Zhang OOD 36 67 0 28 Oct 2021
Learning Partial Equivariances from Data David W. Romero Suhas Lohit 23 28 0 19 Oct 2021
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? M. Farrell Blake Bordelon Shubhendu Trivedi Cengiz Pehlevan 18 5 0 14 Oct 2021
Topographic VAEs learn Equivariant Capsules Thomas Anderson Keller Max Welling BDL 46 38 0 03 Sep 2021
Alias-Free Generative Adversarial Networks Tero Karras M. Aittala S. Laine Erik Härkönen Janne Hellsten J. Lehtinen Timo Aila GAN 116 1,566 0 23 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 13 23 0 11 Jun 2021
Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 40 22 0 07 Jun 2021
DISCO: accurate Discrete Scale Convolutions Ivan Sosnovik A. Moskalev A. Smeulders 26 31 0 04 Jun 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 33 20 0 22 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 79 186 0 19 Apr 2021
Rotation-Invariant Autoencoders for Signals on Spheres Suhas Lohit Shubhendu Trivedi MDE 22 5 0 08 Dec 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels Leon Lang Maurice Weiler 35 53 0 21 Oct 2020
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention M. Sahasrabudhe Stergios Christodoulidis R. Salgado S. Michiels S. Loi Fabrice André Nikos Paragios Maria Vakalopoulou 25 64 0 16 Jul 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning Elise van der Pol Daniel E. Worrall H. V. Hoof F. Oliehoek Max Welling BDL AI4CE 31 156 0 30 Jun 2020
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 30 69 0 18 Jun 2020