Unsupervised Hashing with Semantic Concept Mining. (arXiv:2209.11475v1 [cs.CV])

Recently, to improve the unsupervised image retrieval performance, plenty of
unsupervised hashing methods have been proposed by designing a semantic
similarity matrix, which is based on the similarities between image features
extracted by a pre-trained CNN model. However, most of these methods tend to
ignore high-level abstract semantic concepts contained in images. Intuitively,
concepts play an important role in calculating the similarity among images. In
real-world scenarios, each image is associated with some concepts, and the
similarity between two images …

arxiv concept hashing mining semantic unsupervised