Deep Visual-Semantic Quantization for Efficient Image Retrieval

CVPR, pp. 916-925, 2017.

被引用58|引用|浏览72
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其它链接dblp.uni-trier.de|academic.microsoft.com

摘要

Compact coding has been widely applied to approximate nearest neighbor search for large-scale image retrieval, due to its computation efficiency and retrieval quality. This paper presents a compact coding solution with a focus on the deep learning to quantization approach, which improves retrieval quality by end-to-end representation lear...更多

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