Jethro's Braindump

Cross-modal Hashing

Cross-modal hashing is the compression of high dimensional data into compact binary codes with similar binary codes for similar objects. The key ideas is to create codes for cross-modal retrieval. The constraints are :

  1. It has to be an N-dimensional hamming space – a binary representation with a controllable number of bits.
  2. The same object from different modalities has to have a similar hash code
  3. The space has to be similarity-preserving

(Baltru\vsaitis et al., 2017) has some good reference papers.


Baltru\vsaitis, Tadas, Ahuja, C., & Morency, L., Multimodal machine learning: a survey and taxonomy, CoRR, (), (2017).

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