most citedUnsupervised training of a deep clustering model for multichannel blind source separation

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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…