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pro vyhledávání: '"Nitzan, Ori"'
Accurately detecting objects in the environment is a key challenge for autonomous vehicles. However, obtaining annotated data for detection is expensive and time-consuming. We introduce PatchContrast, a novel self-supervised point cloud pre-training
Externí odkaz:
http://arxiv.org/abs/2308.06985
