Cross-Scale Context Extracted Hashing for Fine-Grained Image Binary Encoding. (arXiv:2210.07572v1 [cs.CV])

Deep hashing has been widely applied to large-scale image retrieval tasks
owing to efficient computation and low storage cost by encoding
high-dimensional image data into binary codes. Since binary codes do not
contain as much information as float features, the essence of binary encoding
is preserving the main context to guarantee retrieval quality. However, the
existing hashing methods have great limitations on suppressing redundant
background information and accurately encoding from Euclidean space to Hamming
space by a simple sign function. …

arxiv binary context encoding fine-grained hashing image scale