Cosine metric supervised deep hashing with balanced similarity
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DOI: 10.1016/j.neucom.2021.03.093
Abstract: Abstract Deep supervised hashing takes prominent advantages of low storage cost, high computational efficiency and good retrieval performance, which draws attention in the field of large-scale image retrieval. However, similarity-preserving, quantization errors and imbalanced data… read more here.
Keywords: cosine metric; deep hashing; similarity; metric supervised ... See more keywords