Learning strides in convolutional neural networks

3 February 2022

Papers citing "Learning strides in convolutional neural networks"

23 / 23 papers shown

Title
Omni-Dimensional Frequency Learner for General Time Series Analysis Xianing Chen.Hanting Chen Hanting Chen Hailin Hu AI4TS 22 0 0 15 Jul 2024
Learning Regularities from Data using Spiking Functions: A Theory Canlin Zhang Xiuwen Liu 21 0 0 19 May 2024
FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis Linjiang Huang Rongyao Fang Aiping Zhang Guanglu Song Si Liu Yu Liu Hongsheng Li DiffM 25 22 0 19 Mar 2024
Hybrid of DiffStride and Spectral Pooling in Convolutional Neural Networks Sulthan Rafif Mochamad Arfan Ravy Wahyu Pratama Mohammad Faris Azhar Ahmad Mustafidul Ibad L. Muflikhah N. Yudistira 25 0 0 17 Jan 2024
Fast Sparse 3D Convolution Network with VDB Fangjun Zhou Anyong Mao Eftychios Sifakis 15 0 0 05 Nov 2023
Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks Changwoo Lee Hun-Seok Kim 19 3 0 29 Oct 2023
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture Mehraveh Javan Matthew Toews M. Pedersoli 22 1 0 21 Jun 2023
Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters Hendrik Sommerhoff Shashank Agnihotri Mohamed Saleh Michael Moeller M. Keuper A. Kolb 3DV 30 6 0 28 Apr 2023
Scale-Space Hypernetworks for Efficient Biomedical Imaging Jose Javier Gonzalez Ortiz John Guttag Adrian V. Dalca 20 0 0 11 Apr 2023
MULLER: Multilayer Laplacian Resizer for Vision Zhengzhong Tu P. Milanfar Hossein Talebi 29 3 0 06 Apr 2023
DNArch: Learning Convolutional Neural Architectures by Backpropagation David W. Romero Neil Zeghidour AI4CE 13 4 0 10 Feb 2023
Masking Kernel for Learning Energy-Efficient Representations for Speaker Recognition and Mobile Health Apiwat Ditthapron E. Agu A. Lammert 16 0 0 08 Feb 2023
Modelling Long Range Dependencies in $N$ D: From Task-Specific to a General Purpose CNN David M. Knigge David W. Romero Albert Gu E. Gavves Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn J. Sonke 3DV 18 21 0 25 Jan 2023
Efficient Feature Extraction for High-resolution Video Frame Interpolation M. Nottebaum Stefan Roth Simone Schaub-Meyer 25 5 0 25 Nov 2022
Introducing topography in convolutional neural networks Maxime Poli Emmanuel Dupoux Rachid Riad 14 0 0 28 Oct 2022
PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points Jing Tan Xiaotong Zhao Xintian Shi Bingyi Kang Limin Wang 9 25 0 20 Oct 2022
Learning Temporal Resolution in Spectrogram for Audio Classification Haohe Liu Xubo Liu Qiuqiang Kong Wenwu Wang Mark D. Plumbley 28 7 0 04 Oct 2022
Pooling Revisited: Your Receptive Field is Suboptimal Dong-Hwan Jang Sanghyeok Chu Joonhyuk Kim Bohyung Han 13 11 0 30 May 2022
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships David Calhas Rui Henriques 17 7 0 07 Mar 2022
Learning to Downsample for Segmentation of Ultra-High Resolution Images Chen Jin Ryutaro Tanno T. Mertzanidou Eleftheria Panagiotaki Daniel C. Alexander SSeg 26 29 0 22 Sep 2021
Detail-Preserving Pooling in Deep Networks Faraz Saeedan Nicolas Weber Michael Goesele Stefan Roth 48 90 0 11 Apr 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 948 20,471 0 17 Apr 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,319 0 05 Nov 2016