Towards Large-Scale Rendering of Simulated Crops for Synthetic Ground Truth Generation on Modular Su...
Towards Large-Scale Rendering of Simulated Crops for Synthetic Ground Truth Generation on Modular Supercomputers
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Computer Vision problems deal with the semantic extraction of information from camera images. Especially for field crop images, the underlying problems are hard to label and even harder to learn, and the availability of high-quality training data is low. Deep neural networks do a good job of extracting the necessary models from training examples. H...
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Towards Large-Scale Rendering of Simulated Crops for Synthetic Ground Truth Generation on Modular Supercomputers
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TN_cdi_proquest_journals_2588157883
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2588157883
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2331-8422
