Cross-modal retrieval based on hashing has attracted much attention for its low storage cost and fast query speed. Most cross-modal hashing methods ...
A novel cross-modal hashing method, which embeds heterogeneous features into their respective Hamming spaces and the correlations between different ...
ABSTRACT. Cross-modal retrieval based on hashing has attracted much attention for its low storage cost and fast query speed. Most cross-modal hashing ...
In this paper, we propose a novel cross-modal hashing method, which embeds heterogeneous features into their respective Hamming spaces. The proposed method has ...
In this paper, we propose a novel cross-modal hashing method, which embeds heterogeneous features into their respective Hamming spaces. The proposed method has ...
Oct 20, 2024 · This paper proposes a DCGH method. Specifically, we use proxy loss as the mainstay to maintain intra-class aggregation of data, combined with pairwise loss to ...
Jan 14, 2024 · We propose a novel supervised cross-modal hashing method called Joint Specifics and Dual-Semantic Hashing Learning for Cross-Modal Retrieval (SDSHL).
Missing: Coupled- | Show results with:Coupled-
We design an unsupervised coupled cycle generative adversarial hashing network for cross-modal retrieval, where powerful common representation and reliable hash.
Jan 9, 2022 · This paper proposes a novel cross-modal retrieval model, called the Deep Cross-modal Supervised Hashing based on Joint Semantic Matrix (DCSJM).
This paper presents a new Deep Visual-Semantic Hashing. (DVSH) model that generates compact hash codes of images and sentences in an end-to-end deep learning ...