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Harmonic Networks: Deep Translation and Rotation Equivariance
14 December 2016
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
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Papers citing
"Harmonic Networks: Deep Translation and Rotation Equivariance"
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Local Rotation Invariance in 3D CNNs
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201
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Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
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Pavel Izmailov
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379
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25 Feb 2020
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Nimrod Segol
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383
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20 Feb 2020
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Maxime W. Lafarge
Erik J. Bekkers
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M. Veta
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On Learning Sets of Symmetric Elements
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Haggai Maron
Or Litany
Gal Chechik
Ethan Fetaya
348
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Recurrent Attention Model with Log-Polar Mapping is Robust against Adversarial Attacks
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Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
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Rui Wang
Robin Walters
Rose Yu
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Universal Equivariant Multilayer Perceptrons
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Siamak Ravanbakhsh
355
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07 Feb 2020
Attentive Group Equivariant Convolutional Networks
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David W. Romero
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
356
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07 Feb 2020
PDE-based Group Equivariant Convolutional Neural Networks
Journal of Mathematical Imaging and Vision (JMIV), 2020
B. Smets
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Erik J. Bekkers
R. Duits
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557
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24 Jan 2020
Harmonic Convolutional Networks based on Discrete Cosine Transform
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Matej Ulicny
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18 Jan 2020
RSL-Net: Localising in Satellite Images From a Radar on the Ground
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202
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Quaternion Equivariant Capsule Networks for 3D Point Clouds
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Yongheng Zhao
Tolga Birdal
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Emanuele Menegatti
Leonidas Guibas
Federico Tombari
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432
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27 Dec 2019
Naive Gabor Networks for Hyperspectral Image Classification
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Jun Li
Lin He
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09 Dec 2019
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance
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Sameera Ramasinghe
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Stephen Gould
135
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Motion Equivariance OF Event-based Camera Data with the Temporal Normalization Transform
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111
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28 Nov 2019
General
E
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E(2)
E
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2
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Neural Information Processing Systems (NeurIPS), 2019
Maurice Weiler
Gabriele Cesa
432
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Affine Self Convolution
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121
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Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data
International Conference on Learning Representations (ICLR), 2019
David W. Romero
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RotationOut as a Regularization Method for Neural Network
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GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs
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200
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14 Nov 2019
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Chirality Nets for Human Pose Regression
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233
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198
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Scale-Equivariant Steerable Networks
International Conference on Learning Representations (ICLR), 2019
Li Xiao
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Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
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Hang Gao
Xizhou Zhu
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B-Spline CNNs on Lie Groups
International Conference on Learning Representations (ICLR), 2019
Erik J. Bekkers
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Towards Learning Affine-Invariant Representations via Data-Efficient CNNs
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Xenju Xu
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LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
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237
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Unsupervised Learning Framework of Interest Point Via Properties Optimization
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Yihua Tan
Yuan Xiao
Yuan Tai
Caizhen Wen
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A Group-Theoretic Framework for Data Augmentation
Shuxiao Chen
Edgar Dobriban
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FedML
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Interaction-and-Aggregation Network for Person Re-identification
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Rui Hou
Bingpeng Ma
Hong Chang
Xinqian Gu
Shiguang Shan
Xilin Chen
3DPC
270
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Learning Complex Basis Functions for Invariant Representations of Audio
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M. Dörfler
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Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness
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Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks
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Covariance in Physics and Convolutional Neural Networks
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Taco S. Cohen
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Invariant Feature Coding using Tensor Product Representation
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Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade
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29 May 2019
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