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SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization
Inspired by properties of semantic segmentation, in this paper we investigate how to leverage robust image segmentation in the context of privacy-preserving visual localization.
Learning Synthetic to Real Transfer for Localization and Navigational Tasks
The navigation pipeline is decomposed as a localization module, a planning module and a local navigation module.
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