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
Research on the Application of Improved SSD Algorithm in th..:
, In:
2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT)
,
Xiao, Mao
- p. 1214-1220 , 2023
Link:
https://doi.org/10.1109/ACAIT60137.2023.10528481
RT T1
2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT)
: T1
Research on the Application of Improved SSD Algorithm in the Intelligent Recognition Model of Anime Characters
UL https://suche.suub.uni-bremen.de/peid=ieee-10528481&Exemplar=1&LAN=DE A1 Xiao, Mao YR 2023 K1 Training K1 Object detection K1 Detectors K1 Prediction algorithms K1 Data augmentation K1 Stability analysis K1 Performance analysis K1 target detection K1 anime K1 character K1 SSD K1 CNN K1 YOLO SP 1214 OP 1220 LK http://dx.doi.org/https://doi.org/10.1109/ACAIT60137.2023.10528481 DO https://doi.org/10.1109/ACAIT60137.2023.10528481 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)