Learning from Synthetic Images via Active Pseudo-Labeling

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, pp. 6452-6465, 2020.

Cited by: 0|Bibtex|Views41|DOI:https://doi.org/10.1109/TIP.2020.2989100
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Other Links: pubmed.ncbi.nlm.nih.gov|academic.microsoft.com

Abstract:

Synthetic visual data refers to the data automatically rendered by the mature computer graphic algorithms. With the rapid development of these techniques, we can now collect photo-realistic synthetic images with accurate pixel-level annotations without much effort. However, due to the domain gaps between synthetic data and real data, in t...More

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