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A Central Similarity Hashing Method via Weighted Partial-Softmax Loss
Image hashing techniques that map images into a set of hash codes are widely used in many image-related tasks. A recent trend is the deep supervised...
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A novel deep translated attention hashing for cross-modal retrieval
In recent years, driven by the increasing number of cross-modal data such as images and texts, cross-modal retrieval has received intensive...
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Context-Aware Hashing
With the development of social media and mobile computing technology, the past decade has witnessed tremendous growth in social images. Consequently,...
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A triple fusion model for cross-modal deep hashing retrieval
In the field of resource retrieval, deep cross-modal retrieval is attracting increasing attention. It has a lower storage capacity and faster...
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An Image Perceptual Hashing Algorithm Based on Convolutional Neural Networks
The conventional perceptual hashing algorithms are constrained to a singular global feature extraction algorithm and lack efficient scalability...
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Bit-wise attention deep complementary supervised hashing for image retrieval
Deep hashing is effective and efficient for large-scale image retrieval. Most of existing deep hashing methods train a single hash table by utilizing...
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Locality Sensitive Hashing
In the preceding chapter, we delved into algorithms that inferred the geometrical shape of a collection of vectors and condensed it into a navigable...
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FuSIW: fusion-based secure RGB image watermarking using hashing
With the proliferation of the use of the Internet and social media, the digital media industry has grown enormously in recent years. However, this...
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A cover selection-based reversible data hiding method by learning cross-modal hashing
With the rapid development of the Internet, various ways of transmitting data have emerged, such as cloud and social applications. However, these...
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LWT-DCT based image hashing for image authentication via blind geometric correction
Image authentication based on robust image hashing has been paid large attention by researchers. However, most of the existing methods are unable to...
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Supervised Discriminative Discrete Hashing for Cross-Modal Retrieval
With the growing interest in cross-modal retrieval technology, cross-modal hashing has become a mainstream trend for comparing and searching between...
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Rate-1 Fully Local Somewhere Extractable Hashing from DDH
Somewhere statistically binding (SSB) hashing allows us to sample a special hashing key such that the digest statistically binds the input at m...
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Hashing-based semantic relevance attributed knowledge graph embedding enhancement for deep probabilistic recommendation
Knowledge graph embedding (KGE) is effectively exploited in providing precise and accurate recommendations from many perspectives in different...
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Cuckoo Hashing in Cryptography: Optimal Parameters, Robustness and Applications
Cuckoo hashing is a powerful primitive that enables storing items using small space with efficient querying. At a high level, cuckoo hashing maps n...
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Unified Energy-Based Generative Network for Supervised Image Hashing
Hashing methods often face critical efficiency challenges, such as generalization with limited labeled data, and robustness issues (such as changes...
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Generative Adversarial Network Based Asymmetric Deep Cross-Modal Unsupervised Hashing
With the explosive growth of internet information, cross-modal retrieval has become an important and valuable frontier hotspot. Due to its low...
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Diving Deep into the Preimage Security of AES-Like Hashing
Since the seminal works by Sasaki and Aoki, Meet-in-the-Middle (MITM) attacks are recognized as an effective technique for preimage and collision...
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Graph Attention Hashing via Contrastive Learning for Unsupervised Cross-Modal Retrieval
Hashing-based cross-modal retrieval maps multi-modal features into binary codes into a common Hamming space. Due to its small storage consumption and...
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Adaptive Graph Attention Hashing for Unsupervised Cross-Modal Retrieval via Multimodal Transformers
Unsupervised cross-modal hashing retrieval has been extensively studied due to its advantages in storage, retrieval efficiency, and label...