I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
SwiftFormer: Efficient Additive Attention for Transformer-b..:
, In:
2023 IEEE/CVF International Conference on Computer Vision (ICCV)
,
Shaker, Abdelrahman
;
Maaz, Muhammad
;
Rasheed, Hanoona
... - p. 17379-17390 , 2023
Link:
https://doi.org/10.1109/ICCV51070.2023.01598
RT T1 <cTitle>2023 IEEE/CVF International Conference on Computer Vision (ICCV)</cTitle>: T1 <Title>SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10376776&Exemplar=1&LAN=DE A1 Shaker, Abdelrahman A1 Maaz, Muhammad A1 Rasheed, Hanoona A1 Khan, Salman A1 Yang, Ming-Hsuan A1 Khan, Fahad Shahbaz YR 2023 SN 2380-7504 K1 Convolutional codes K1 Computer vision K1 Additives K1 Image resolution K1 Object detection K1 Transformers K1 Real-time systems SP 17379 OP 17390 LK http://dx.doi.org/https://doi.org/10.1109/ICCV51070.2023.01598 DO https://doi.org/10.1109/ICCV51070.2023.01598 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
