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Deep Triplet Quantization
[article]
2019
arXiv
pre-print
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 Triplet Quantization (DTQ), a novel approach to learning deep quantization models from the similarity triplets. To enable more effective triplet training, we
arXiv:1902.00153v1
fatcat:s4vopgkgdfhsjpdvwjkuqijfuu