Abstract: Traditional multi-modal hashing methods map instances into hash codes for multi-modal retrieval tasks, achieving low storage costs and fast retrieval speed. In reality, it is common to ...
Abstract: Existing non-stationary cross-modal hashing methods generally focus on continuous data growth but fail to handle the concept drift problem. Moreover, they typically rely on a single hash ...
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