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Structured Receptive Fields in CNNs

10 May 2016

Papers citing "Structured Receptive Fields in CNNs"

50 / 54 papers shown

Title
Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and Perspectives Zeynel A. Samak Philip Clatworthy Majid Mirmehdi 148 2 0 06 Dec 2024
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations Andrzej Perzanowski Tony Lindeberg 139 1 0 17 Sep 2024
Scaling Continuous Kernels with Sparse Fourier Domain Learning Clayton A. Harper Luke Wood Peter Gerstoft Eric C. Larson 65 0 0 15 Sep 2024
Approximation properties relative to continuous scale space for hybrid discretizations of Gaussian derivative operators Tony Lindeberg 121 2 0 08 May 2024
Covariant spatio-temporal receptive fields for spiking neural networks Jens Egholm Pedersen Jorg Conradt Tony Lindeberg 95 3 0 01 May 2024
Deep Continuous Networks Nergis Tomen S. Pintea Jan van Gemert 153 14 0 02 Feb 2024
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields Z. Babaiee Peyman M. Kiasari Daniela Rus Radu Grosu MDE 45 3 0 18 Jan 2024
Foveation in the Era of Deep Learning George Killick Paul Henderson Paul Siebert Gerardo Aragon Camarasa FedML 84 2 0 03 Dec 2023
Discrete approximations of Gaussian smoothing and Gaussian derivatives Tony Lindeberg 99 12 0 19 Nov 2023
Dilated Convolution with Learnable Spacings: beyond bilinear interpolation Ismail Khalfaoui-Hassani Thomas Pellegrini T. Masquelier 64 8 0 01 Jun 2023
Riesz networks: scale invariant neural networks in a single forward pass Tin Barisin K. Schladitz C. Redenbach 78 12 0 08 May 2023
Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields T. Lindeberg 115 11 0 17 Mar 2023
Moving Frame Net: SE(3)-Equivariant Network for Volumes Mateus Sangalli S. Blusseau Santiago Velasco-Forero Jesús Angulo 127 7 0 07 Nov 2022
Approximating Continuous Convolutions for Deep Network Compression Theo W. Costain V. Prisacariu 75 0 0 17 Oct 2022
Fully trainable Gaussian derivative convolutional layer Valentin Penaud-Polge Santiago Velasco-Forero Jesús Angulo 68 9 0 18 Jul 2022
Blind Image Inpainting with Sparse Directional Filter Dictionaries for Lightweight CNNs Jenny Schmalfuss Erik Scheurer Hengyuan Zhao Nikolaos Karantzas Andrés Bruhn D. Labate 47 4 0 13 May 2022
Symmetry Structured Convolutional Neural Networks K. D. G. Maduranga Vasily Zadorozhnyy Qiang Ye 123 4 0 03 Mar 2022
Dilated convolution with learnable spacings Ismail Khalfaoui-Hassani Thomas Pellegrini T. Masquelier 133 34 0 07 Dec 2021
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 58 0 0 18 Nov 2021
$Frequency learning for structured CNN filters with Gaussian fractional derivatives$ Frequency learning for structured CNN filters with Gaussian fractional derivatives Nikhil Saldanha S. Pintea Jan van Gemert Nergis Tomen 59 8 0 12 Nov 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 179 83 0 15 Oct 2021
Parametric Scattering Networks Shanel Gauthier Benjamin Thérien Laurent Alsene-Racicot Muawiz Chaudhary Irina Rish Eugene Belilovsky Michael Eickenberg Guy Wolf 96 18 0 20 Jul 2021
Built-in Elastic Transformations for Improved Robustness Sadaf Gulshad Ivan Sosnovik A. Smeulders AAML 78 1 0 20 Jul 2021
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification Z. Babaiee Ramin Hasani Mathias Lechner Daniela Rus Radu Grosu VLM 77 18 0 13 Jun 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 120 37 0 07 Jun 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 74 20 0 22 Apr 2021
Spectral Leakage and Rethinking the Kernel Size in CNNs Nergis Tomen Jan van Gemert AAML 68 19 0 25 Jan 2021
Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support Isma Hadji Richard P. Wildes 33 2 0 30 Nov 2020
Tensor Reordering for CNN Compression Matej Ulicny V. Krylov Rozenn Dahyot 58 4 0 22 Oct 2020
Deep Hough-Transform Line Priors Yancong Lin S. Pintea Jan van Gemert 65 77 0 18 Jul 2020
Self-Supervised Learning of a Biologically-Inspired Visual Texture Model Nikhil Parthasarathy Eero P. Simoncelli 94 7 0 30 Jun 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 349 237 0 16 Mar 2020
Harmonic Convolutional Networks based on Discrete Cosine Transform Matej Ulicny V. Krylov Rozenn Dahyot 65 36 0 18 Jan 2020
Translation Insensitive CNNs G. Sundaramoorthi Timothy E. Wang 68 7 0 25 Nov 2019
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation Yunlu Chen Thomas Mensink Masashi Sugiyama 3DPC MDE 74 26 0 03 Oct 2019
Associative Convolutional Layers H. Omidvar Vahideh Akhlaghi M. Franceschetti Rajesh K. Gupta 69 1 0 10 Jun 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 97 19 0 29 May 2019
Learning to Convolve: A Generalized Weight-Tying Approach Nichita Diaconu Daniel E. Worrall MLT 75 20 0 12 May 2019
Harmonic Networks with Limited Training Samples Matej Ulicny V. Krylov Rozenn Dahyot 98 17 0 30 Apr 2019
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields Evan Shelhamer Dequan Wang Trevor Darrell 87 35 0 25 Apr 2019
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks Domen Tabernik Matej Kristan A. Leonardis 77 22 0 20 Feb 2019
Harmonic Networks: Integrating Spectral Information into CNNs Matej Ulicny V. Krylov Rozenn Dahyot 102 7 0 07 Dec 2018
PointConv: Deep Convolutional Networks on 3D Point Clouds Wenxuan Wu Chen Ma Fuxin Li 3DPC 255 1,580 0 17 Nov 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam R. Kosiorek Hyunjik Kim Ingmar Posner Yee Whye Teh BDL 140 259 0 05 Jun 2018
What Do We Understand About Convolutional Networks? Isma Hadji Richard P. Wildes FAtt 68 99 0 23 Mar 2018
Spatially-Adaptive Filter Units for Deep Neural Networks Domen Tabernik Matej Kristan A. Leonardis 82 11 0 30 Nov 2017
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition Isma Hadji Richard P. Wildes 77 27 0 22 Aug 2017
Dynamic Steerable Blocks in Deep Residual Networks J. Jacobsen Bert de Brabandere A. Smeulders 100 28 0 02 Jun 2017
Gabor Convolutional Networks Shangzhen Luan Baochang Zhang Chen Chen Xianbin Cao Jiawei Han Jianzhuang Liu BDL 179 345 0 03 May 2017
Active Decision Boundary Annotation with Deep Generative Models Miriam W. Huijser Jan van Gemert 68 46 0 20 Mar 2017