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
MGSampler: An Explainable Sampling Strategy for Video Actio..:
, In:
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
,
Zhi, Yuan
;
Tong, Zhan
;
Wang, Limin
. - p. 1493-1502 , 2021
Link:
https://doi.org/10.1109/ICCV48922.2021.00154
RT T1 <cTitle>2021 IEEE/CVF International Conference on Computer Vision (ICCV)</cTitle>: T1 <Title>MGSampler: An Explainable Sampling Strategy for Video Action Recognition</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9710428&Exemplar=1&LAN=DE A1 Zhi, Yuan A1 Tong, Zhan A1 Wang, Limin A1 Wu, Gangshan YR 2021 SN 2380-7504 K1 Adaptation models K1 Computer vision K1 Codes K1 Motion segmentation K1 Computational modeling K1 Redundancy K1 Computer architecture K1 Video analysis and understanding; Action and behavior recognition; Recognition and classification SP 1493 OP 1502 LK http://dx.doi.org/https://doi.org/10.1109/ICCV48922.2021.00154 DO https://doi.org/10.1109/ICCV48922.2021.00154 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
