Learning to Train with Synthetic Humans
作者： David T. Hoffmann , Dimitrios Tzionas , Michael J. Black , Siyu Tang
DOI: 10.1007/978-3-030-33676-9_43
关键词: Machine learning 、 Manual annotation 、 Artificial intelligence 、 Synthetic data 、 Ground truth 、 Computer science 、 Exploit 、 Pose 、 Artificial neural network
摘要: 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 …
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