Cross-modal retrievalDiscrete optimizationOnline hashingLearning to hashWith the prevalence of multimedia content on the Web which usually continuously comes in a stream fashion, online cross-modal hashing methods have attracted extensive interest in recent years. However, most online hashing methods adopt...
Hashing has been extensively utilized in cross-modal retrieval due to its high efficiency in handling large-scale, high-dimensional data. However, most existing cross-modal hashing methods operate as offline learning models, which learn hash codes in a b
Discrete online cross-modal hashing作者: Highlights: • Different from the majority of related methods, DOCH is a discrete one. • By keeping the binary constraints, quantization error can be avoided. • By preserving the similarity in Hamming space, DOCH learns accurate hash codes. • ...
This repo is the source code for the paper "Label Embedding Online Hashing for Cross-Modal Retrieval" on ACM MM-2020 (https://doi.org/10.1145/3394171.3413971). If you have any questions about the source code, please contact:yxinwang@hotmail.com. ...
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Cross-modal Coherence Modeling for Caption Generation. Malihe Alikhani Piyush Sharma Shengjie Li Radu Soricut Matthew Stone 原文链接 谷歌学术 必应学术 百度学术 Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction.
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In future work, we will try to use the Locality-Sensitive Hashing technique for the semantic representation of the article, achieving the best of both worlds: quality results and scalability. The techniques presented in this paper were integrated into a specialized AI module of the FiDisD ...
DMS applies membership hashing and a testing algorithm, such as a Bloom Filter, in a hierarchical and distributed fashion. The following illustrates how the MembershipHash( ) algorithm may be implemented, although any convenient technique may be used. Assume that the “current key” K is 10 KB...
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