Deep multi-similarity hashing technique based on multi-label semantics
نویسندگان
چکیده
Abstract A deep multi-similarity hashing technique based on multi-label semantics has been proposed in this paper as a means of new controlled system for image retrieval. Our methodology comprises hash code learning and semantically-aware similarity matrix creation. To create that considers semantic context, we integrate label-level semantic-level similarity. Using the higher-order statistics features inputs, meticulously craft loss quantization error learning, ensuring learned binary codes retain their high-ranking suggested strategy is successful, shown by several testing CIFAR-10 NUS-WIDE.
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2023
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/2506/1/012001