Learning deep embeddings by learning to rank
We study the problem of embedding high-dimensional visual data into low-dimensional vector representations. This is an important component in many computer vision applications involving nearest neighbor retrieval, as embedding techniques not only perform dimensionality reduction, but can also captur...
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| Language: | en_US |
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2019
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| Online Access: | https://hdl.handle.net/2144/34773 |