Abstract: 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, ...

Abstract: 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 ...

There are three main types of prevailing image retrieval hashing methods, which are symmetric Deep Supervised Hashing, Asymmetric Deep Supervised Hashing and Center Similarity Deep Supervised Hashing.