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2202.00632
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Reducing the Amount of Real World Data for Object Detector Training with Synthetic Data
31 January 2022
Sven Burdorf
Karoline Plum
Daniel Hasenklever
Re-assign community
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Papers citing
"Reducing the Amount of Real World Data for Object Detector Training with Synthetic Data"
2 / 2 papers shown
Title
Deep Aramaic: Towards a Synthetic Data Paradigm Enabling Machine Learning in Epigraphy
Andrei C. Aioanei
R. Hunziker-Rodewald
Konstantin Klein
Dominik L. Michels
33
2
0
11 Oct 2023
Quantifying the LiDAR Sim-to-Real Domain Shift: A Detailed Investigation Using Object Detectors and Analyzing Point Clouds at Target-Level
Sebastian Huch
Luca Scalerandi
Esteban Rivera
Markus Lienkamp
3DPC
29
16
0
03 Mar 2023
1