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
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annota..:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Li, Daiqing
;
Ling, Huan
;
Kim, Seung Wook
... - p. 21298-21308 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.02064
RT T1
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
: T1
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
UL https://suche.suub.uni-bremen.de/peid=ieee-9878775&Exemplar=1&LAN=DE A1 Li, Daiqing A1 Ling, Huan A1 Kim, Seung Wook A1 Kreis, Karsten A1 Fidler, Sanja A1 Torralba, Antonio YR 2022 SN 2575-7075 K1 Training K1 Image segmentation K1 Benchmark testing K1 Generative adversarial networks K1 Generators K1 Pattern recognition K1 Labeling K1 Datasets and evaluation; Image and video synthesis and generation; Representation learning; Segmentation K1 grouping and shape analysis; Self-& semi-& meta- Transfer/low-shot/long-tail learning SP 21298 OP 21308 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.02064 DO https://doi.org/10.1109/CVPR52688.2022.02064 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)