Deep Priority Hashing

MM '18: ACM Multimedia Conference Seoul Republic of Korea October, 2018, pp. 1653-1661, 2018.

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Abstract:

Deep hashing enables image retrieval by end-to-end learning of deep representations and hash codes from training data with pairwise similarity information. Subject to the distribution skewness underlying the similarity information, most existing deep hashing methods may underperform for imbalanced data due to misspecified loss functions. ...More

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