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Text-to-image retrieval based on incremental association via multimodal hypernetworks
2012
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Text-to-image retrieval is to retrieve the images associated with the textual queries. A text-to-image retrieval model requires an incremental learning method for its practical use since the multimodal data grow up dramatically. Here we propose an incremental text-to-image retrieval method using a multimodal association model. The association model is based on a hypernetwork (HN) where a vertex corresponds to a textual word or a visual patch and a hyperedge represents a higherorder multimodal
doi:10.1109/icsmc.2012.6378291
dblp:conf/smc/HaLZ12
fatcat:a6bxtihwnncarfinib6e3hgpne