Cross-modal hashing is an effective approach for information retrieval from large and heterogeneous cross-modal datasets, owing to its low storage cost and high computational speed. However, ...

Recently, hashing-based multimodal learning systems have received increasing attention due to their query efficiency and parsimonious storage costs. However, impeded by the quantization loss caused by ...

Symmetric deep supervised hashing methods are broadly used in image retrieval tasks and have achieved well performance. Nevertheless, the training of these hashing methods is typically time-consuming, ...

To empower AI, researchers have begun equipping them with various 'tools'—such as Python code interpreters, search engines, and calculators. This method, known as 'tool-integrated reasoning,' has ...