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
Diversity-oriented Contrastive Learning for RGB-T Scene Par..:
, In:
2023 2nd International Conference on Sensing, Measurement, Communication and Internet of Things Technologies (SMC-IoT)
,
Liu, Hengyan
;
Ren, Guangyu
;
Dai, Tianhong
... - p. 155-160 , 2023
Link:
https://doi.org/10.1109/SMC-IoT62253.2023.00035
RT T1 <cTitle>2023 2nd International Conference on Sensing, Measurement, Communication and Internet of Things Technologies (SMC-IoT)</cTitle>: T1 <Title>Diversity-oriented Contrastive Learning for RGB-T Scene Parsing</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10538814&Exemplar=1&LAN=DE A1 Liu, Hengyan A1 Ren, Guangyu A1 Dai, Tianhong A1 Zhang, Di A1 Xu, Pengjing A1 Zhang, Wenzhang A1 Hu, Bintao YR 2023 K1 Computer vision K1 Semantic segmentation K1 Computational modeling K1 Lighting K1 Focusing K1 Transformers K1 Feature extraction K1 Scene Parsing K1 Contrastive Learning K1 Determinantal point processes SP 155 OP 160 LK http://dx.doi.org/https://doi.org/10.1109/SMC-IoT62253.2023.00035 DO https://doi.org/10.1109/SMC-IoT62253.2023.00035 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
