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A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition
Thousands of scanned historical topographic maps contain valuable information covering long periods of time, such as how the hydrography of a region has changed over time.
Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images
Recent semi-supervised clustering approaches can reduce manual labeling but still require annotations for all object categories in the image.
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