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
Robust Bounding Box Regression for Small Object Detection:
, In:
2023 IEEE International Conference on Image Processing (ICIP)
,
Guo, Ziqi
;
He, Chu
;
Zhou, Lian
.. - p. 2290-2294 , 2023
Link:
https://doi.org/10.1109/ICIP49359.2023.10222753
RT T1
2023 IEEE International Conference on Image Processing (ICIP)
: T1
Robust Bounding Box Regression for Small Object Detection
UL https://suche.suub.uni-bremen.de/peid=ieee-10222753&Exemplar=1&LAN=DE A1 Guo, Ziqi A1 He, Chu A1 Zhou, Lian A1 Zhang, Qingyi A1 Sun, Shilei YR 2023 K1 Measurement K1 Deep learning K1 Adaptive systems K1 Image processing K1 Object detection K1 Propulsion K1 deep learning K1 small object detection K1 bounding box regression K1 anchor point SP 2290 OP 2294 LK http://dx.doi.org/https://doi.org/10.1109/ICIP49359.2023.10222753 DO https://doi.org/10.1109/ICIP49359.2023.10222753 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)