Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applicatio...
Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications
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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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Dense Object Nets (DONs) by Florence, Manuelli and Tedrake (2018) introduced dense object descriptors as a novel visual object representation for the robotics community. It is suitable for many applications including object grasping, policy learning, etc. DONs map an RGB image depicting an object into a descriptor space image, which implicitly enco...
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Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications
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TN_cdi_proquest_journals_2490397598
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2490397598
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2331-8422
