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A survey on deep hashing methods
Nearest neighbor search aims at obtaining the samples in the database with the smallest
distances from them to the queries, which is a basic task in a range of fields, including …
distances from them to the queries, which is a basic task in a range of fields, including …
Unsupervised cross-modal hashing with modality-interaction
Recently, numerous unsupervised cross-modal hashing methods have been proposed to
deal the image-text retrieval tasks for the unlabeled cross-modal data. However, when these …
deal the image-text retrieval tasks for the unlabeled cross-modal data. However, when these …
Unsupervised cross-modal hashing via semantic text mining
Cross-modal hashing has been widely used in multimedia retrieval tasks due to its fast
retrieval speed and low storage cost. Recently, many deep unsupervised cross-modal …
retrieval speed and low storage cost. Recently, many deep unsupervised cross-modal …
Contrastive quantization with code memory for unsupervised image retrieval
The high efficiency in computation and storage makes hashing (including binary hashing
and quantization) a common strategy in large-scale retrieval systems. To alleviate the …
and quantization) a common strategy in large-scale retrieval systems. To alleviate the …
Data-aware proxy hashing for cross-modal retrieval
Recently, numerous proxy hash code based methods, which sufficiently exploit the label
information of data to supervise the training of hashing models, have been proposed …
information of data to supervise the training of hashing models, have been proposed …
Unsupervised deep hashing through learning soft pseudo label for remote sensing image retrieval
Unsupervised hashing is an important approach for large-scale content-based remote
sensing (RS) image retrieval. Existing unsupervised hashing methods usually utilize data …
sensing (RS) image retrieval. Existing unsupervised hashing methods usually utilize data …
Exploring hierarchical information in hyperbolic space for self-supervised image hashing
In real-world datasets, visually related images often form clusters, and these clusters can be
further grouped into larger categories with more general semantics. These inherent …
further grouped into larger categories with more general semantics. These inherent …
Deep cross-modal proxy hashing
Due to the high retrieval efficiency and low storage cost for cross-modal search tasks, cross-
modal hashing methods have attracted considerable attention from the researchers. For the …
modal hashing methods have attracted considerable attention from the researchers. For the …
Improved deep unsupervised hashing via prototypical learning
Hashing has become increasingly popular in approximate nearest neighbor search in recent
years due to its storage and computational efficiency. While deep unsupervised hashing has …
years due to its storage and computational efficiency. While deep unsupervised hashing has …
Unsupervised hashing retrieval via efficient correlation distillation
Z **, X Wang, P Cheng - … on Circuits and Systems for Video …, 2023 - ieeexplore.ieee.org
Deep hashing has been widely used in multimedia retrieval systems due to its storage and
computation efficiency. Unsupervised hashing has received a lot of attention in recent years …
computation efficiency. Unsupervised hashing has received a lot of attention in recent years …