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
OccAM's Laser: Occlusion-based Attribution Maps for 3D Obje..:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Schinagl, David
;
Krispel, Georg
;
Possegger, Horst
.. - p. 1131-1140 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.00121
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9879848&Exemplar=1&LAN=DE A1 Schinagl, David A1 Krispel, Georg A1 Possegger, Horst A1 Roth, Peter M. A1 Bischof, Horst YR 2022 SN 2575-7075 K1 Point cloud compression K1 Computer vision K1 Three-dimensional displays K1 Laser radar K1 Detectors K1 Computer architecture K1 Object detection K1 Recognition: detection K1 categorization K1 retrieval; 3D from multi-view and sensors; Deep learning architectures and techniques; Explainable computer vision; Navigation and autonomous driving; Robot vision SP 1131 OP 1140 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.00121 DO https://doi.org/10.1109/CVPR52688.2022.00121 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
