A general two-stage cGANs framework is proposed to learn hash codes based on the pairwise label information. •. In the first stage, the conditional ...
Jul 1, 2023 · A general two-stage cGANs framework is proposed to learn hash codes based on the pairwise label information.
In this paper, we propose a general two-stage conditional GANs hashing framework based on the pairwise label information. Both the labeled and unlabeled data ...
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Semantic-based Conditional Generative Adversarial Hashing with Pairwise Labels · No full-text available · Citations (1) · References (56) · Recommended publications.
Semantic-based Conditional Generative Adversarial Hashing with Pairwise Labels. Li, Qi1 ; Wang, Weining1 ; Tang, Yuanyan2; Xu, Chengzhong2; Sun, Zhenan1.
Hashing has been a widely-adopted technique for nearest neighbor search in large-scale image retrieval tasks. Recent research has shown that leveraging ...
This paper studies the exploration of generating synthetic data through semi-supervised generative adversarial networks (GANs), which leverages largely ...
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Apr 23, 2018 · ABSTRACT. Hashing has been a widely-adopted technique for nearest neigh- bor search in large-scale image retrieval tasks.
Deep Pairwise-. Supervised Hashing (DPSH) [12] performs simultaneous feature learning and binary codes learning with pair-wise labels. Deep Hashing Network (DHN) ...