Unsupervised fine-grained image hashing aims to learn compact binary hash codes in
unsupervised settings addressing challenges posed by large-scale datasets and …

As a highly promising technique in the field of similarity search, the hashing-based image
retrieval algorithm has received continued attention in recent years because of its strong …

In the face of massive remote sensing image data, this is a challenging missions to retrieve
images containing specific content quickly and accurately. With the characteristics of low …

Hashing method is widely used in multimedia retrieval systems because of its outstanding
retrieval efficiency and low storage cost. Most existing unsupervised hashing methods learn …

In view of the problems of insufficient feature extraction and ineffective capture of correlation
between deep features in existing image retrieval methods, a modified dual attention triplet …

Unsupervised hashing network commonly uses pseudo labels generated from a clustering
algorithm. Therefore, the performance of the hashing network is completely oriented from the …