Dec 24, 2023 · In this paper, we propose a novel deep consistency preserving network (DCPN) for unsupervised cross-modal hashing, which sufficiently utilizes the semantic ...

Dec 24, 2023 · In this paper, we propose a novel deep consistency preserving network (DCPN) for unsupervised cross-modal hashing, which sufficiently utilizes the semantic ...

In this paper, we propose a novel deep consistency preserving network (DCPN) for unsupervised cross-modal hashing, which sufficiently utilizes the semantic ...

Deep Consistency Preserving Network for Unsupervised Cross-Modal Hashing ... Deep graph-neighbor coherence preserving network for unsupervised cross-modal hashing ...

Abstract. Unsupervised cross-modal hashing (UCMH) has become a hot topic recently. Current UCMH focuses on exploring data similarities.

Feb 9, 2023 · Cross-modal hashing is an efficient method to embed high-dimensional heterogeneous modal feature descriptors into a consistency-preserving ...

May 18, 2021 · In this paper, we devise a deep graph-neighbor coherence preserving network (DGCPN). Specifically, DGCPN stems from graph models and explores graph-neighbor ...

We propose a novel supervised hashing method with dual consistency preservation, called Discrete Online Cross-Modal Hashing (DOCMH).

Hashing has been extensively utilized in cross-modal retrieval due to its high efficiency in handling large-scale, high-dimensional data.

Unsupervised cross-modal hashing is a topic of considerable interest due to its advantages in terms of low storage costs and fast retrieval speed.