Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation
Hui Cui,
Lihai Zhao,
Fengling Li
et al.
Abstract:Unsupervised domain adaptive hashing is a highly promising research direction within the field of retrieval. It aims to transfer valuable insights from the source domain to the target domain while maintaining high storage and retrieval efficiency. Despite its potential, this field remains relatively unexplored. Previous methods usually lead to unsatisfactory retrieval performance, as they frequently directly apply slightly modified domain adaptation algorithms to hash learning framework, or pursue domain align… Show more
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