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
Adversarial Examples Generation for Deep Product Quantizati..:
Chen, Bin
;
Feng, Yan
;
Dai, Tao
...
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45 (2023) 2 - p. 1388-1404 , 2023
Link:
https://doi.org/10.1109/tpami.2022.3165024
RT Journal T1
Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tpami.2022.3165024&Exemplar=1&LAN=DE A1 Chen, Bin A1 Feng, Yan A1 Dai, Tao A1 Bai, Jiawang A1 Jiang, Yong A1 Xia, Shu-Tao A1 Wang, Xuan PB Institute of Electrical and Electronics Engineers (IEEE) YR 2023 SN 0162-8828 SN 2160-9292 SN 1939-3539 JF IEEE Transactions on Pattern Analysis and Machine Intelligence VO 45 IS 2 SP 1388 OP 1404 LK http://dx.doi.org/https://doi.org/10.1109/tpami.2022.3165024 DO https://doi.org/10.1109/tpami.2022.3165024 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)