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Radar target recognition based on open set YOLO:

, In: International Conference on Radar Systems (RADAR 2022),

Meucci, G. ; Ghio, S. ; Giusti, E.. - p. None , 2022

Link: https://doi.org/10.1049/icp.2022.2347

RT 
T1 <cTitle>International Conference on Radar Systems (RADAR 2022)</cTitle>: T1 <Title>Radar target recognition based on open set YOLO</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10038887&Exemplar=1&LAN=DE
				
A1 Meucci, G.
A1 Ghio, S.
A1 Giusti, E.
A1 Martorella, M.
YR 2022
K1 feature extraction
K1 learning (artificial intelligence)
K1 neural nets
K1 radar imaging
K1 radar target recognition
K1 synthetic aperture radar
K1 ATR
K1 automatic target recognition
K1 background class
K1 closed set classifier
K1 closed sets
K1 completely new classifiers
K1 deep learning breakthrough
K1 deep neural network
K1 DNN-based detectors
K1 dynamic environment
K1 feature extractors
K1 known classes
K1 open set recognition
K1 open set yolo
K1 perfect results
K1 post-processing methods
K1 SAR images
K1 static datasets
K1 unknown detector
K1 unknown targets
K1 YOLO detector
K1 YOLO model
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2022.2347
DO https://doi.org/10.1049/icp.2022.2347
SF ELIB - SuUB Bremen

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