CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters

29 March 2022

Papers citing "CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters"

30 / 30 papers shown

Title
Convolutional Neural Networks Do Work with Pre-Defined Filters C. Linse Erhardt Barth T. Martinetz 82 5 0 27 Nov 2024
ResiDual Transformer Alignment with Spectral Decomposition Lorenzo Basile Valentino Maiorca Luca Bortolussi Emanuele Rodolà Francesco Locatello 48 1 0 31 Oct 2024
Enhancing Generalization in Convolutional Neural Networks through Regularization with Edge and Line Features C. Linse Beatrice Brückner Thomas Martinetz 16 0 0 22 Oct 2024
How Do Training Methods Influence the Utilization of Vision Models? Paul Gavrikov Shashank Agnihotri M. Keuper J. Keuper 28 2 0 18 Oct 2024
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels Z. Babaiee Peyman M. Kiasari Daniela Rus Radu Grosu 38 1 0 25 Jan 2024
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Boyang Zhang Zheng Li Ziqing Yang Xinlei He Michael Backes Mario Fritz Yang Zhang 30 4 0 19 Oct 2023
On the Interplay of Convolutional Padding and Adversarial Robustness Paul Gavrikov J. Keuper AAML 23 3 0 12 Aug 2023
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models D. Honegger Konstantin Schurholt Damian Borth 31 4 0 26 Apr 2023
An Extended Study of Human-like Behavior under Adversarial Training Paul Gavrikov J. Keuper M. Keuper AAML 28 9 0 22 Mar 2023
Revisiting Hidden Representations in Transfer Learning for Medical Imaging Dovile Juodelyte Amelia Jiménez-Sánchez V. Cheplygina OOD 16 1 0 16 Feb 2023
The Power of Linear Combinations: Learning with Random Convolutions Paul Gavrikov J. Keuper 35 2 0 26 Jan 2023
GoogLe2Net: Going Transverse with Convolutions Yuanpeng He 19 2 0 01 Jan 2023
On the Transferability of Visual Features in Generalized Zero-Shot Learning Paola Cascante-Bonilla Leonid Karlinsky James Smith Yanjun Qi Vicente Ordonez 27 2 0 22 Nov 2022
Does Medical Imaging learn different Convolution Filters? Paul Gavrikov J. Keuper VLM OOD 6 2 0 25 Oct 2022
Model Zoos: A Dataset of Diverse Populations of Neural Network Models Konstantin Schurholt Diyar Taskiran Boris Knyazev Xavier Giró-i-Nieto Damian Borth 52 29 0 29 Sep 2022
E Pluribus Unum Interpretable Convolutional Neural Networks George Dimas Eirini Cholopoulou D. Iakovidis 15 3 0 10 Aug 2022
Adversarial Robustness through the Lens of Convolutional Filters Paul Gavrikov J. Keuper 35 15 0 05 Apr 2022
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks Hanxun Huang Yisen Wang S. Erfani Quanquan Gu James Bailey Xingjun Ma AAML TPM 46 100 0 07 Oct 2021
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models Yunhao Yang Parham Gohari Ufuk Topcu AAML 28 3 0 06 Oct 2021
Visformer: The Vision-friendly Transformer Zhengsu Chen Lingxi Xie Jianwei Niu Xuefeng Liu Longhui Wei Qi Tian ViT 120 209 0 26 Apr 2021
Pre-training without Natural Images Hirokatsu Kataoka Kazushige Okayasu Asato Matsumoto Eisuke Yamagata Ryosuke Yamada Nakamasa Inoue Akio Nakamura Y. Satoh 79 116 0 21 Jan 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding Xinming Zhang Ningning Ma Jungong Han Guiguang Ding Jian Sun 136 1,548 0 11 Jan 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 231 677 0 19 Oct 2020
HarDNet: A Low Memory Traffic Network P. Chao Chao-Yang Kao Yunxing Ruan Chien-Hsiang Huang Y. Lin 198 266 0 03 Sep 2019
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 195 3,531 0 20 Aug 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 282 10,354 0 12 Dec 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 264 3,110 0 04 Nov 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 195 5,176 0 16 Sep 2016