A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Transductive Zero-Shot Hashing via Coarse-to-Fine Similarity Mining
[article]
2017
arXiv
pre-print
Zero-shot Hashing (ZSH) is to learn hashing models for novel/target classes without training data, which is an important and challenging problem. Most existing ZSH approaches exploit transfer learning via an intermediate shared semantic representations between the seen/source classes and novel/target classes. However, due to having disjoint, the hash functions learned from the source dataset are biased when applied directly to the target classes. In this paper, we study the transductive ZSH,
arXiv:1711.02856v1
fatcat:eqwut2d64fay7bindfcu6zoi7y