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This document summarizes a data-driven scene parsing method for recognizing construction site objects in whole images using limited training data. The method uses three modules: 1) a scene retrieval module that finds similar images in a database using GIST matching, 2) a dense scene alignment module that selects the most related images using SIFT flow matching, and 3) a scene parsing module that transfers labels from the most related images to label pixels in the query image. The method demonstrated reasona

Author

samir.aman

Language

EN