Web: http://arxiv.org/abs/2206.10589

Sept. 26, 2022, 1:14 a.m. | Muhammad Maaz, Abdelrahman Shaker, Hisham Cholakkal, Salman Khan, Syed Waqas Zamir, Rao Muhammad Anwer, Fahad Shahbaz Khan

cs.CV updates on arXiv.org arxiv.org

In the pursuit of achieving ever-increasing accuracy, large and complex
neural networks are usually developed. Such models demand high computational
resources and therefore cannot be deployed on edge devices. It is of great
interest to build resource-efficient general purpose networks due to their
usefulness in several application areas. In this work, we strive to effectively
combine the strengths of both CNN and Transformer models and propose a new
efficient hybrid architecture EdgeNeXt. Specifically in EdgeNeXt, we introduce
split depth-wise transpose …

applications architecture arxiv cnn mobile transformer transformer architecture vision

More from arxiv.org / cs.CV updates on arXiv.org

DATA ANALYST /- CONTROLE DE GESTION ET FINANCE H/F

@ METRO/MAKRO | Nanterre, France

Data Analyst

@ Netcentric | Barcelona, Spain

Power BI Developer

@ Lendi Group | Sydney, Australia

Staff Data Scientist - Merchant Services (Remote, North America)

@ Shopify | Dallas, TX, United States

Machine Learning / Data Engineer

@ WATI | Vietnam - Remote

F/H Data Manager

@ Bosch Group | Saint-Ouen-sur-Seine, France

[Fixed-term contract until July 2023] Data Quality Controller - Space Industry Luxembourg (m/f/o)

@ LuxSpace Sarl | Betzdorf, Luxembourg

Senior Data Engineer (Azure DataBricks/datalake)

@ SpectraMedix | East Windsor, NJ, United States

Abschlussarbeit im Bereich Data Analytics (w/m/div.)

@ Bosch Group | Rülzheim, Germany

Data Engineer - Marketing

@ Publicis Groupe | London, United Kingdom

Data Engineer (Consulting division)

@ Starschema | Budapest, Hungary

Team Leader, Master Data Management - Support CN, HK & TW

@ Publicis Groupe | Kuala Lumpur, Malaysia