Learning to Train with Synthetic Humans

Neural networks need big annotated datasets for training. However, manual annotation can be too expensive or even unfeasible for certain tasks, like multi-person 2D pose estimation with severe occlusions. A remedy for this is synthetic data with perfect ground truth. Here we explore two variations o...

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Hauptverfasser:	Hoffmann, David T, Tzionas, Dimitrios, Black, Micheal J, Tang, Siyu
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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