Deep Triplet Quantization

MM '18: ACM Multimedia Conference Seoul Republic of Korea October, 2018, pp. 755-763, 2018.

Cited by: 24|Bibtex|Views49|DOI:https://doi.org/10.1145/3240508.3240516
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Other Links: dblp.uni-trier.de|dl.acm.org|arxiv.org

Abstract:

Deep hashing establishes efficient and effective image retrieval by end-to-end learning of deep representations and hash codes from similarity data. We present a compact coding solution, focusing on deep learning to quantization approach that has shown superior performance over hashing solutions for similarity retrieval. We propose Deep T...More

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