Deep Roto-Translation Scattering for Object Classification

30 December 2014

Papers citing "Deep Roto-Translation Scattering for Object Classification"

50 / 122 papers shown

Title
Bottom-Up Scattering Information Perception Network for SAR target recognition Chenxi Zhao Daochang Wang Siqian Zhang Gangyao Kuang 31 0 0 07 Apr 2025
Calibrating Noise for Group Privacy in Subsampled Mechanisms Yangfan Jiang Xinjian Luo Yin Yang Xiaokui Xiao 36 2 0 19 Aug 2024
Attack-Aware Noise Calibration for Differential Privacy B. Kulynych Juan Felipe Gomez G. Kaissis Flavio du Pin Calmon Carmela Troncoso 62 6 0 02 Jul 2024
P4: Towards private, personalized, and Peer-to-Peer learning Mohammad Maheri S. Siby Sina Abdollahi Anastasia Borovykh Hamed Haddadi 26 0 0 27 May 2024
Affine Invariance in Continuous-Domain Convolutional Neural Networks A. Mohaddes Johannes Lederer 25 1 0 13 Nov 2023
H-NeXt: The next step towards roto-translation invariant networks Tomáš Karella F. Šroubek J. Flusser Jan Blazek Vasek Kosik 29 1 0 02 Nov 2023
Convolutional Networks with Oriented 1D Kernels Alexandre Kirchmeyer Jia Deng 24 4 0 27 Sep 2023
Deep learning in medical image registration: introduction and survey Ahmad Hammoudeh Stéphane Dupont MedIm 29 4 0 01 Sep 2023
Unlocking Accuracy and Fairness in Differentially Private Image Classification Leonard Berrada Soham De J. Shen Jamie Hayes Robert Stanforth David Stutz Pushmeet Kohli Samuel L. Smith Borja Balle 32 13 0 21 Aug 2023
Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering Ce Feng Nuo Xu Wujie Wen Parv Venkitasubramaniam Caiwen Ding 12 4 0 25 Jul 2023
Riesz feature representation: scale equivariant scattering network for classification tasks Tin Barisin Jesús Angulo K. Schladitz C. Redenbach 22 2 0 17 Jul 2023
Differentially Private Image Classification by Learning Priors from Random Processes Xinyu Tang Ashwinee Panda Vikash Sehwag Prateek Mittal 36 20 0 08 Jun 2023
A Rainbow in Deep Network Black Boxes Florentin Guth Brice Ménard G. Rochette S. Mallat 39 10 0 29 May 2023
DPMLBench: Holistic Evaluation of Differentially Private Machine Learning Chengkun Wei Ming-Hui Zhao Zhikun Zhang Min Chen Wenlong Meng Bodong Liu Yuan-shuo Fan Wenzhi Chen 45 11 0 10 May 2023
Wavelets Beat Monkeys at Adversarial Robustness Jingtong Su Julia Kempe AAML OOD 30 2 0 19 Apr 2023
Arbitrary Decisions are a Hidden Cost of Differentially Private Training B. Kulynych Hsiang Hsu Carmela Troncoso Flavio du Pin Calmon 30 18 0 28 Feb 2023
Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation Margarita Vinaroz M. Park DD 30 0 0 31 Jan 2023
Equivariant and Steerable Neural Networks: A review with special emphasis on the symmetric group Patrick Krüger Hanno Gottschalk 32 1 0 08 Jan 2023
From CNNs to Shift-Invariant Twin Models Based on Complex Wavelets Hubert Leterme K. Polisano V. Perrier Alahari Karteek 39 1 0 01 Dec 2022
Analysis of (sub-)Riemannian PDE-G-CNNs Gijs Bellaard Daan Bon Gautam Pai B. Smets R. Duits AI4CE 34 12 0 03 Oct 2022
Minimalistic Unsupervised Learning with the Sparse Manifold Transform Yubei Chen Zeyu Yun Yi Ma Bruno A. Olshausen Yann LeCun 54 8 0 30 Sep 2022
A Simple Strategy to Provable Invariance via Orbit Mapping Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller AAML 3DPC 20 3 0 24 Sep 2022
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks Hubert Leterme K. Polisano V. Perrier Alahari Karteek FAtt 40 2 0 19 Sep 2022
A scattering transform for graphs based on heat semigroups, with an application for the detection of anomalies in positive time series with underlying periodicities B. Bodmann Iris Emilsdottir AI4TS 32 3 0 26 Aug 2022
CoShNet: A Hybrid Complex Valued Neural Network using Shearlets Manny Ko Ujjawal K. Panchal Héctor Andrade-Loarca Andres Mendez-Vazquez 33 1 0 14 Aug 2022
Conflicting Interactions Among Protection Mechanisms for Machine Learning Models S. Szyller Nadarajah Asokan AAML 26 7 0 05 Jul 2022
Self-Supervised Pretraining for Differentially Private Learning Arash Asadian Evan Weidner Lei Jiang PICV 32 3 0 14 Jun 2022
Adversarial Audio Synthesis with Complex-valued Polynomial Networks Yongtao Wu Grigorios G. Chrysos V. Cevher DiffM 27 4 0 14 Jun 2022
Unlocking High-Accuracy Differentially Private Image Classification through Scale Soham De Leonard Berrada Jamie Hayes Samuel L. Smith Borja Balle 35 218 0 28 Apr 2022
Leveraging Equivariant Features for Absolute Pose Regression M. A. Musallam Vincent Gaudillière M. O. D. Castillo Kassem Al Ismaeil Djamila Aouada 41 21 0 05 Apr 2022
Efficient Hybrid Network: Inducting Scattering Features D. Minskiy M. Bober 23 3 0 29 Mar 2022
Privacy-Aware Compression for Federated Data Analysis Kamalika Chaudhuri Chuan Guo Michael G. Rabbat FedML 38 27 0 15 Mar 2022
Survey on Self-supervised Representation Learning Using Image Transformations Muhammad Ali S. Hashim ViT 13 1 0 17 Feb 2022
NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release Donghao Li Yang Cao Yuan Yao 40 2 0 14 Feb 2022
Complexity from Adaptive-Symmetries Breaking: Global Minima in the Statistical Mechanics of Deep Neural Networks Shaun Li AI4CE 48 0 0 03 Jan 2022
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 32 8 0 22 Nov 2021
Towards Understanding Theoretical Advantages of Complex-Reaction Networks Shao-Qun Zhang Gaoxin Wei Zhi-Hua Zhou 23 17 0 15 Aug 2021
Parametric Scattering Networks Shanel Gauthier Benjamin Thérien Laurent Alsene-Racicot Muawiz Chaudhary Irina Rish Eugene Belilovsky Michael Eickenberg Guy Wolf 29 16 0 20 Jul 2021
Wavelet-Packets for Deepfake Image Analysis and Detection Moritz Wolter F. Blanke R. Heese Jochen Garcke CVBM 22 41 0 17 Jun 2021
Interferometric Graph Transform for Community Labeling Nathan Grinsztajn Louis Leconte Philippe Preux Edouard Oyallon 40 1 0 04 Jun 2021
FILTRA: Rethinking Steerable CNN by Filter Transform Bo Li Qili Wang G. Lee 24 4 0 25 May 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 35 20 0 22 Apr 2021
CXR-Net: An Artificial Intelligence Pipeline for Quick Covid-19 Screening of Chest X-Rays H. Abdulah B. Huber Sinan Lal H. Abdallah L. Palese H. Soltanian-Zadeh D. Gatti 26 4 0 26 Feb 2021
Spectral Leakage and Rethinking the Kernel Size in CNNs Nergis Tomen Jan van Gemert AAML 24 18 0 25 Jan 2021
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods L. Thiry Michael Arbel Eugene Belilovsky Edouard Oyallon AAML 16 14 0 19 Jan 2021
flexgrid2vec: Learning Efficient Visual Representations Vectors Ali Hamdi D. Kim Flora D. Salim SSL GNN 30 7 0 30 Jul 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath Alexandru Paul Condurache ViT AI4CE 42 9 0 30 Jun 2020
Interferometric Graph Transform: a Deep Unsupervised Graph Representation Edouard Oyallon 21 6 0 10 Jun 2020
Image Segmentation Using Hybrid Representations Alakh Desai Ruchi Chauhan J. Sivaswamy SSeg 11 4 0 15 Apr 2020
Adversarial Robustness Guarantees for Random Deep Neural Networks Giacomo De Palma B. Kiani S. Lloyd AAML OOD 21 8 0 13 Apr 2020