Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks.

This paper presents a simple yet effective supervised deep hash approach that constructs binary hash codes from labeled data for large-scale image search. We assume that the semantic labels are governed by several latent attributes with each attribute on or off, and classification relies on these at... View More