Abstract: Existing weakly supervised hashing often suffers from the imprecision of user-provided tags and over-reliance on textual knowledge from pre-trained word embeddings, neglecting crucial visual ...

We present a simple yet effective deep learning framework to create the hash-like binary codes for fast image retrieval. We add a latent-attribute layer in the deep CNN to simultaneously learn domain ...

Local → Remote Files are streamed as chunked tar batches over SSH. Remote runs tar xf - to extract on the fly Remote → Local Remote runs tar cf -, local extracts with streaming extraction — files ...

Abstract: Deep hashing combines the advantages of deep learning and hashing technology and has become mainstream in the field of large-scale image retrieval. However, when training deep hashing models ...