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Generating Images with Physics-Based Rendering for an Industrial Object Detection Task: Realism versus Domain Randomization
Limited training data is one of the biggest challenges in the industrial application of deep learning. Generating synthetic training images is a promising solution in computer vision; however, minimizing the domain gap between synthetic and real-world images remains a problem. Therefore, based on a...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659618/ https://www.ncbi.nlm.nih.gov/pubmed/34883900 http://dx.doi.org/10.3390/s21237901 |