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
Shot-Level Semantic Reward-based Self-Attentional Network f..:
, In:
2023 IEEE Fifth International Conference on Advances in Electronics, Computers and Communications (ICAECC)
,
B, Harish
;
B, Natarajan
;
R, Elakkiya
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ICAECC59324.2023.10560142
RT T1
2023 IEEE Fifth International Conference on Advances in Electronics, Computers and Communications (ICAECC)
: T1
Shot-Level Semantic Reward-based Self-Attentional Network for Unsupervised Video Summarization
UL https://suche.suub.uni-bremen.de/peid=ieee-10560142&Exemplar=1&LAN=DE A1 B, Harish A1 B, Natarajan A1 R, Elakkiya A1 R, Annamalai A1 R, Bhuvaneswari A1 V, Deepak YR 2023 SN 2642-6595 K1 Video description K1 Semantics K1 Feature extraction K1 Deep reinforcement learning K1 Vectors K1 Decoding K1 Convolutional neural networks K1 self attention K1 video summarization K1 key shot extraction K1 reward function K1 deep reinforcement learning SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICAECC59324.2023.10560142 DO https://doi.org/10.1109/ICAECC59324.2023.10560142 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)