Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields

25 April 2019

Papers citing "Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields"

24 / 24 papers shown

Title
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations Andrzej Perzanowski Tony Lindeberg 45 1 0 17 Sep 2024
Deep Continuous Networks Nergis Tomen S. Pintea J. C. V. Gemert 88 14 0 02 Feb 2024
Dilated Convolution with Learnable Spacings: beyond bilinear interpolation Ismail Khalfaoui-Hassani Thomas Pellegrini T. Masquelier 16 3 0 01 Jun 2023
GMConv: Modulating Effective Receptive Fields for Convolutional Kernels Qi Chen Chao Li Jia Ning Stephen Lin Kun He AAML 21 2 0 09 Feb 2023
Fully trainable Gaussian derivative convolutional layer Valentin Penaud-Polge Santiago Velasco-Forero Jesús Angulo 11 9 0 18 Jul 2022
Efficient Representation Learning via Adaptive Context Pooling Chen Huang Walter A. Talbott Navdeep Jaitly J. Susskind 14 6 0 05 Jul 2022
BlobGAN: Spatially Disentangled Scene Representations Dave Epstein Taesung Park Richard Y. Zhang Eli Shechtman Alexei A. Efros GAN SSL OCL 27 42 0 05 May 2022
Dilated convolution with learnable spacings Ismail Khalfaoui-Hassani Thomas Pellegrini T. Masquelier 8 31 0 07 Dec 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero Robert-Jan Bruintjes Jakub M. Tomczak Erik J. Bekkers Mark Hoogendoorn J. C. V. Gemert 74 81 0 15 Oct 2021
Resolution learning in deep convolutional networks using scale-space theory Silvia L.Pintea Nergis Tomen Stanley F. Goes Marco Loog J. C. V. Gemert SupR SSL 22 37 0 07 Jun 2021
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks Dequan Wang An Ju Evan Shelhamer David A. Wagner Trevor Darrell AAML 18 26 0 18 May 2021
Spectral Leakage and Rethinking the Kernel Size in CNNs Nergis Tomen J. C. V. Gemert AAML 11 18 0 25 Jan 2021
Spatially-Adaptive Pixelwise Networks for Fast Image Translation Tamar Rott Shaham Michael Gharbi Richard Y. Zhang Eli Shechtman T. Michaeli 13 77 0 05 Dec 2020
Deep Hough-Transform Line Priors Yancong Lin S. Pintea J. C. V. Gemert 15 74 0 18 Jul 2020
CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs Zhen Dong Dequan Wang Qijing Huang Yizhao Gao Yaohui Cai Tian Li Bichen Wu Kurt Keutzer J. Wawrzynek ObjD 23 1 0 12 Jun 2020
Top-Down Networks: A coarse-to-fine reimagination of CNNs Ioannis Lelekas Nergis Tomen S. Pintea J. C. V. Gemert 14 6 0 16 Apr 2020
Translation Insensitive CNNs G. Sundaramoorthi Timothy E. Wang 14 7 0 25 Nov 2019
NeurVPS: Neural Vanishing Point Scanning via Conic Convolution Yichao Zhou Haozhi Qi Jingwei Huang Yi-An Ma 3DPC 11 43 0 14 Oct 2019
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation Hang Gao Xizhou Zhu Steve Lin Jifeng Dai 13 63 0 07 Oct 2019
Dynamic Graph Message Passing Networks Li Zhang Dan Xu Anurag Arnab Philip H. S. Torr GNN 11 138 0 19 Aug 2019
Dynamic Scale Inference by Entropy Minimization Dequan Wang Evan Shelhamer Bruno A. Olshausen Trevor Darrell 11 7 0 08 Aug 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 14 19 0 29 May 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 11 166 0 28 May 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016