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, ...

We are happy to announce S5VH, the first Mamba-based video hashing model with an improved self-supervised learning paradigm. S5VH includes bidirectional Mamba layers for both the encoder and decoder, ...