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
A Robust and Effective Tracking Method in Remote Sensing Vi..:
, In:
Proceedings of the 2nd International Conference on Control and Computer Vision
,
Fukun, Bi
;
mingyang, Lei
;
Jiayi, Sun
- p. 13-17 , 2019
Link:
https://dl.acm.org/doi/10.1145/3341016.3341022
RT T1
Proceedings of the 2nd International Conference on Control and Computer Vision
: T1
A Robust and Effective Tracking Method in Remote Sensing Video Sequences
UL https://suche.suub.uni-bremen.de/peid=acm-3341022&Exemplar=1&LAN=DE A1 Fukun, Bi A1 mingyang, Lei A1 Jiayi, Sun PB ACM YR 2019 K1 multi-domain learning K1 saliency enhanced K1 sample augmentation K1 visual tracking K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms SP 13 OP 17 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3341016.3341022 DO https://dl.acm.org/doi/10.1145/3341016.3341022 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)