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
Dense or Sparse: Crowd Counting with Binary Supervision:
, In:
Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing
,
Babu Sam, Deepak
;
Joseph, Jimmy
;
Agarwalla, Abhinav
. - p. 1-9 , 2022
Link:
https://dl.acm.org/doi/10.1145/3571600.3571652
RT T1
Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing
: T1
Dense or Sparse: Crowd Counting with Binary Supervision
UL https://suche.suub.uni-bremen.de/peid=acm-3571652&Exemplar=1&LAN=DE A1 Babu Sam, Deepak A1 Joseph, Jimmy A1 Agarwalla, Abhinav A1 Radhakrishnan, Venkatesh Babu PB ACM YR 2022 K1 crowd counting K1 deep learning K1 weak supervision K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Object detection SP 1 OP 9 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3571600.3571652 DO https://dl.acm.org/doi/10.1145/3571600.3571652 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)