Deep noise mitigation and semantic reconstruction hashing for unsupervised cross-modal retrieval

Cheng Zhang; Yuan Wan; Haopeng Qiang

doi:10.1007/s00521-023-09331-0

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Deep noise mitigation and semantic reconstruction hashing for unsupervised cross-modal retrieval

Cheng Zhang Yuan Wan Haopeng Qiang

Year: 2024 Journal: Neural Computing and Applications Vol: 36 (10)Pages: 5383-5397 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-023-09331-0

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Keywords:

Computer science Hash function Pairwise comparison Artificial intelligence Pattern recognition (psychology) Cluster analysis Benchmark (surveying) Noise (video) Discriminative model Variance (accounting) Data mining Convolutional neural network Machine learning Image (mathematics)

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Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Deep noise mitigation and semantic reconstruction hashing for unsupervised cross-modal retrieval

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Citation History

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