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
Semi-Supervised Scene Change Detection by Distillation from..:
, In:
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Lee, Seonhoon
;
Kim, Jong-Hwan
- p. 1215-1224 , 2024
Link:
https://doi.org/10.1109/WACV57701.2024.00126
RT T1
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
: T1
Semi-Supervised Scene Change Detection by Distillation from Feature-metric Alignment
UL https://suche.suub.uni-bremen.de/peid=ieee-10483629&Exemplar=1&LAN=DE A1 Lee, Seonhoon A1 Kim, Jong-Hwan YR 2024 SN 2642-9381 K1 Training K1 Visualization K1 Surveillance K1 Robot vision systems K1 Semisupervised learning K1 Feature extraction K1 Robustness K1 Algorithms K1 Image recognition and understanding SP 1215 OP 1224 LK http://dx.doi.org/https://doi.org/10.1109/WACV57701.2024.00126 DO https://doi.org/10.1109/WACV57701.2024.00126 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)