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Lecture Notes in Computer Science
The objective of this paper is to improve large scale visual object retrieval for visual place recognition. Geo-localization based on a visual query is made difficult by plenty of non-distinctive features which commonly occur in imagery of urban environments, such as generic modern windows, doors, cars, trees, etc. The focus of this work is to adapt standard Hamming Embedding retrieval system to account for varying descriptor distinctiveness. To this end, we propose a novel method fordoi:10.1007/978-3-319-16817-3_13 fatcat:p7b75vk3kvdndfbzglzskwcpt4