Optimizing Grouped Convolutions on Edge Devices

Optimizing Grouped Convolutions on Edge Devices

17 June 2020

Elliot J. Crowley

Michael F. P. O'Boyle

Amos Storkey

Papers citing "Optimizing Grouped Convolutions on Edge Devices"

8 / 8 papers shown

Title
Deep Learning on Home Drone: Searching for the Optimal Architecture Alaa Maalouf Yotam Gurfinkel Barak Diker O. Gal Daniela Rus Dan Feldman 32 5 0 21 Sep 2022
Hardware-aware mobile building block evaluation for computer vision Maxim Bonnaerens Matthias Anton Freiberger Marian Verhelst J. Dambre 30 1 0 26 Aug 2022
Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection Perry Gibson José Cano AI4CE 38 1 0 19 Jun 2022
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li Peng Sun Radu Timofte Luc Van Gool Fang Kong ... Deng-Guang Zhou Kun Zeng Han-Yuan Lin Xinyu Chen Jin-Tao Fang SupR 44 78 0 11 May 2022
Image Classification on Accelerated Neural Networks Ilkay Sikdokur Inci M. Baytas A. Yurdakul 22 1 0 21 Mar 2022
Learning Features with Parameter-Free Layers Dongyoon Han Y. Yoo Beomyoung Kim Byeongho Heo 35 8 0 06 Feb 2022
Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation Perry Gibson José Cano 33 12 0 14 Jan 2022
Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks Amirali Boroumand Saugata Ghose Berkin Akin Ravi Narayanaswami Geraldo F. Oliveira Xiaoyu Ma Eric Shiu O. Mutlu 25 82 0 29 Sep 2021