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Cross-Modal Retrieval using Random Multimodal Deep Learning
2019
JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
In multimedia community, cross modal similarity search based hashing received extensive attention because of the effectiveness and efficiency of query. This research work contributes large scale dataset for weakly managed cross-media recovery, named Twitter100k. Current datasets namely Wikipedia, NUS Wide and Flickr30k, have two main restrictions. First, these datasets are deficient in content diversity, i.e., only some pre-characterized classes are secured. Second, texts in these datasets are
doi:10.26782/jmcms.2019.04.00016
fatcat:jkpne7zeenbolhyllbuhgcqwjy