Zero-Shot Learning to Manage a Large Number of Place-Specific Compressive Change Classifiers

15 Sep 2017Tanaka Kanji

With recent progress in large-scale map maintenance and long-term map learning, the task of change detection on a large-scale map from a visual image captured by a mobile robot has become a problem of increasing criticality. Previous approaches for change detection are typically based on image differencing and require the memorization of a prohibitively large number of mapped images in the above context... (read more)

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