most citedReducing the Amount of Real World Data for Object Detector Training with Synthetic Data

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2022★ 2 cited

Reducing the Amount of Real World Data for Object Detector Training with Synthetic Data

Sven Burdorf, Karoline Plum, Daniel Hasenklever

A number of studies have investigated the training of neural networks with synthetic data for applications in the real world. The aim of this study is to quantify how much real wor…