Hashing learningImage retrievalHashing methods have been widely used for large-scale image retrieval. Learning deep hashing networks with a pairwise loss or a triplet ranking loss has become a common framework. The pairwise loss and triplet ranking loss, respectively, focus on preserving the pair...
Furthermore, the pair-wise or triplet-wise unsupervised hashing can hardly achieve satisfactory performance due to the absence of local similarity of image pairs. To solve those problems, we propose a novel unsupervised deep hashing framework to learn compact binary codes, which takes the quadruplet...