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 53 1 0 17 Sep 2024
Deep Continuous Networks Nergis Tomen S. Pintea Jan van Gemert 94 14 0 02 Feb 2024
Dilated Convolution with Learnable Spacings: beyond bilinear interpolation Ismail Khalfaoui-Hassani Thomas Pellegrini T. Masquelier 21 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 21 9 0 18 Jul 2022
Efficient Representation Learning via Adaptive Context Pooling Chen Huang Walter A. Talbott Navdeep Jaitly J. Susskind 30 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 37 42 0 05 May 2022
Dilated convolution with learnable spacings Ismail Khalfaoui-Hassani Thomas Pellegrini T. Masquelier 25 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 Jan van Gemert 80 82 0 15 Oct 2021
Resolution learning in deep convolutional networks using scale-space theory Silvia L.Pintea Nergis Tomen Stanley F. Goes Marco Loog Jan van Gemert SupR SSL 30 37 0 07 Jun 2021
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks Dequan Wang An Ju Evan Shelhamer David Wagner Trevor Darrell AAML 26 26 0 18 May 2021
Spectral Leakage and Rethinking the Kernel Size in CNNs Nergis Tomen Jan van Gemert AAML 24 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 21 77 0 05 Dec 2020
Deep Hough-Transform Line Priors Yancong Lin S. Pintea Jan van Gemert 31 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 31 1 0 12 Jun 2020
Top-Down Networks: A coarse-to-fine reimagination of CNNs Ioannis Lelekas Nergis Tomen S. Pintea Jan van Gemert 24 6 0 16 Apr 2020
Translation Insensitive CNNs G. Sundaramoorthi Timothy E. Wang 27 7 0 25 Nov 2019
NeurVPS: Neural Vanishing Point Scanning via Conic Convolution Yichao Zhou Haozhi Qi Jingwei Huang Yi Ma 3DPC 21 42 0 14 Oct 2019
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation Hang Gao Xizhou Zhu Steve Lin Jifeng Dai 21 64 0 07 Oct 2019
Dynamic Graph Message Passing Networks Li Zhang Dan Xu Anurag Arnab Philip Torr GNN 21 138 0 19 Aug 2019
Dynamic Scale Inference by Entropy Minimization Dequan Wang Evan Shelhamer Bruno A. Olshausen Trevor Darrell 27 7 0 08 Aug 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 27 19 0 29 May 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 15 166 0 28 May 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016