Multi-modal hashing for efficient multimedia retrieval: A survey
With the explosive growth of multimedia contents, multimedia retrieval is facing
unprecedented challenges on both storage cost and retrieval speed. Hashing technique can …
unprecedented challenges on both storage cost and retrieval speed. Hashing technique can …
Adversary guided asymmetric hashing for cross-modal retrieval
Cross-modal hashing has attracted considerable attention for large-scale multimodal
retrieval task. A majority of hashing methods have been proposed for cross-modal retrieval …
retrieval task. A majority of hashing methods have been proposed for cross-modal retrieval …
Multi-level correlation adversarial hashing for cross-modal retrieval
Cross-modal hashing (CMH) has been widely used for similarity search in multimedia
retrieval applications, thanks to low storage cost and fast query speed. However, preserving …
retrieval applications, thanks to low storage cost and fast query speed. However, preserving …
Deep semantic-alignment hashing for unsupervised cross-modal retrieval
Deep hashing methods have achieved tremendous success in cross-modal retrieval, due to
its low storage consumption and fast retrieval speed. In real cross-modal retrieval …
its low storage consumption and fast retrieval speed. In real cross-modal retrieval …
Supervised hierarchical deep hashing for cross-modal retrieval
Cross-modal hashing has attracted much attention in the large-scale multimedia search
area. In many real applications, labels of samples have hierarchical structure which also …
area. In many real applications, labels of samples have hierarchical structure which also …
DAH: Discrete asymmetric hashing for efficient cross-media retrieval
Given the merits in high computational efficiency and low storage cost, hashing techniques
have been widely studied in cross-media retrieval. Existing cross-media hashing algorithms …
have been widely studied in cross-media retrieval. Existing cross-media hashing algorithms …
Correlation filtering-based hashing for fine-grained image retrieval
L Ma, X Li, Y Shi, J Wu, Y Zhang - IEEE Signal Processing …, 2020 - ieeexplore.ieee.org
The low storage and strong representation capabilities of hash codes for image retrievalhas
made hashing technologies very popular. Several existing deep hashing methods focuson …
made hashing technologies very popular. Several existing deep hashing methods focuson …
Unsupervised hash retrieval based on multiple similarity matrices and text self-attention mechanism
C Hou, Z Li, J Wu - Applied Intelligence, 2022 - Springer
Cross-modal retrieval aims to find the similarity between different modal data, while the hash
retrieval method improves retrieval efficiency. This paper proposes a cross-modal hash …
retrieval method improves retrieval efficiency. This paper proposes a cross-modal hash …
Cross-modal image–text search via efficient discrete class alignment hashing
Hashing has produced enormous potentials in cross-modal image–text search, which learns
compact binary codes by exploring the correlations between distinct modalities. However …
compact binary codes by exploring the correlations between distinct modalities. However …
Dual-level semantic transfer deep hashing for efficient social image retrieval
Social network stores and disseminates a tremendous amount of user shared images. Deep
hashing is an efficient indexing technique to support large-scale social image retrieval, due …
hashing is an efficient indexing technique to support large-scale social image retrieval, due …