Survey of synthetic data in human analysis
Survey of synthetic data in human analysis
Synthetic Data in Human Analysis: A Survey
arXiv paper abstract https://arxiv.org/abs/2208.09191v1
arXiv PDF paper https://arxiv.org/pdf/2208.09191v1.pdf
Deep neural networks have become prevalent in human analysis, boosting the performance of applications, such as biometric recognition, action recognition, as well as person re-identification.
However, the performance of such networks scales with the available training data.
... demand for large-scale datasets poses a severe challenge, as data collection is tedious, time-expensive, costly and must comply with data protection laws.
... generation of synthetic data as an efficient and privacy-ensuring alternative to collecting real data in the field.
... conduct a survey that summarises current state-of-the-art methods and the main benefits of using synthetic data.
... also provide an overview of publicly available synthetic datasets and generation models ...
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