Quadruplet-Based Deep Cross-Modal Hashing

Figure 1

(a) Triplet loss-based cross-modal hashing methods suffer from a weak generalization capacity from the training set to the testing set because the test instances belong to the category and cannot be mapped into compact binary codes (see the lower-right corner). (b) Triplet loss-based cross-modal hashing methods can project the test instances, which belong to the category , into compact binary space (see the lower right corner).

(a)

(b)