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Abstract: Unsupervised deep hashing has demonstrated significant advancements with the development of contrastive learning. However, most of previous methods have been hindered by insufficient ...

We study how to best make use of the a GPU to implement lock-free concurrent hash tables, and on top of that highly parallel dynamic programming. We show that the right hash table can be remarkably ...

Abstract: Deep hashing has been widely applied in large-scale data retrieval due to its superior retrieval efficiency and low storage cost. However, data are often scattered in data silos with privacy ...