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Dalea: A Persistent Multi-Level Extendible Hashing with Improved Tail Performance
Persistent memory (PM) promises byte-addressability, large capacity, and durability. Main memory systems, such as key-value stores and in-memory...
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FRIH: A face recognition framework using image hashing
Face recognition is one of the most important research topics in computer vision. Indeed, the face is an important means of communication with humans...
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Temporal network compression via network hashing
Pairwise temporal interactions between entities can be represented as temporal networks, which code the propagation of processes such as epidemic...
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NEHASH: high-concurrency extendible hashing for non-volatile memory
Extendible hashing is an effective way to manage increasingly large file system metadata, but it suffers from low concurrency and lack of...
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Attention-based deep supervised hashing for near duplicate video retrieval
With the explosive growth of video data on the Internet, near duplicate video retrieval (NDVR) has become an important and challenging issue in the...
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Dual enhanced semantic hashing for fast image retrieval
As a highly promising technique in the field of similarity search, the hashing-based image retrieval algorithm has received continued attention in...
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Accelerating similarity-based model matching using dual hashing
Similarity-based model matching is the cornerstone of model versioning. It pairs model elements based on a distance metric (e.g., edit distance)....
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Deep supervised fused similarity hashing for cross-modal retrieval
The need for cross-modal retrieval increases significantly with the rapid growth of multimedia information on the Internet. However, most of existing...
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Boosting deep cross-modal retrieval hashing with adversarially robust training
Deep hashing methods effectively enhance the performance of conventional machine learning retrieval models, particularly in visual medium evolving...
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An improved deep hashing model for image retrieval with binary code similarities
The exponential growth of data raises an unprecedented challenge in data analysis: how to retrieve interesting information from such large-scale...
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A replay attack detection scheme based on perceptual image hashing
Perceptual image hashing has mainly been used in the literature to authenticate images or to identify similar contents for image copy detection. In...
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Cross-Modal Hashing
Cross-modal retrieval [1] aims to retrieve semantically relevant items in other modalities given queries from a specific modality. To support...
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Mixture of Experts Residual Learning for Hamming Hashing
Image retrieval has drawn growing attention due to the rapid emergence of images on the Internet. Due to the high storage and computation efficiency,...
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Deep adversarial multi-label cross-modal hashing algorithm
In recent years, more and more researchers employ the hashing algorithm to improve the large-scale cross-modal retrieval efficiency by map** the...
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Deep cross-modal hashing with fine-grained similarity
Cross-modal hashing has attracted noticeable attention in the multimedia community. Two-stage methods often show impressive performance by first...
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Text-assisted attention-based cross-modal hashing
As one of the hottest research topics in multimedia information retrieval, cross-modal hashing has drawn widespread attention in the past decades....
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Contrast-based unsupervised hashing method with margin limit
The unsupervised hash image retrieval method based on contrastive learning has been widely recognized and concerned because it can make better use of...
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Category-Level Contrastive Learning for Unsupervised Hashing in Cross-Modal Retrieval
Unsupervised hashing for cross-modal retrieval has received much attention in the data mining area. Recent methods rely on image-text paired data to...
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Length adaptive hashing for semi-supervised semantic image retrieval
Image Hashing methods have proven to be both effective and efficient for large-scale image retrieval problem. The advances in hashing methods...
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Deep Collaborative Graph Hashing
The remarkable success of deep hashing in large-scale image retrieval is attributed to its potent discriminative representation through deep learning...