Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach

16 June 2025

Papers citing "Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach"

4 / 4 papers shown

Title
Spectral Leakage and Rethinking the Kernel Size in CNNs Nergis Tomen Jan van Gemert AAML 53 19 0 25 Jan 2021
CondConv: Conditionally Parameterized Convolutions for Efficient Inference Brandon Yang Gabriel Bender Quoc V. Le Jiquan Ngiam MedIm 3DV 72 636 0 10 Apr 2019
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,539 0 05 Sep 2017
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 1.2K 20,880 0 17 Apr 2017