Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations

14 March 2023

Papers citing "Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations"

22 / 22 papers shown

Title
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks Renan A. Rojas-Gomez Teck-Yian Lim Alex Schwing Minh Do Raymond A. Yeh 53 11 0 14 Oct 2022
Generalization to translation shifts: a study in architectures and augmentations Suriya Gunasekar 28 1 0 05 Jul 2022
Equivariance Discovery by Learned Parameter-Sharing Raymond A. Yeh Yuan-Ting Hu M. Hasegawa-Johnson Alex Schwing FedML 52 15 0 07 Apr 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 67 5,102 0 10 Jan 2022
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function Md Tahmid Hossain S. Teng Ferdous Sohel Guojun Lu 69 13 0 03 Oct 2021
Alias-Free Generative Adversarial Networks Tero Karras M. Aittala S. Laine Erik Härkönen Janne Hellsten J. Lehtinen Timo Aila GAN 148 1,582 0 23 Jun 2021
Group Equivariant Subsampling Jin Xu Hyunjik Kim Tom Rainforth Yee Whye Teh 41 22 0 10 Jun 2021
Shift Invariance Can Reduce Adversarial Robustness Songwei Ge Vasu Singla Ronen Basri David Jacobs AAML OOD 36 27 0 03 Mar 2021
Truly shift-invariant convolutional neural networks Anadi Chaman Ivan Dokmanić 45 71 0 28 Nov 2020
An Effective Anti-Aliasing Approach for Residual Networks C. N. Vasconcelos Hugo Larochelle Vincent Dumoulin Nicolas Le Roux Ross Goroshin SupR 52 32 0 20 Nov 2020
Delving Deeper into Anti-aliasing in ConvNets Xueyan Zou Fanyi Xiao Zhiding Yu Yong Jae Lee SupR 46 105 0 21 Aug 2020
Shift Equivariance in Object Detection M. Manfredi Yu Wang ObjD 39 18 0 13 Aug 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 71 91 0 07 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 265 42,038 0 03 Dec 2019
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 77 516 0 19 Nov 2019
Universal Approximation with Deep Narrow Networks Patrick Kidger Terry Lyons 63 329 0 21 May 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 82 794 0 25 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 107 3,399 0 28 Mar 2019
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 57 559 0 30 May 2018
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 152 881 0 03 Feb 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 532 3,264 0 24 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015