CycHash: A Novel Deep Learning to Hash Method for Image Retrieval

We propose a deep learning to hash method named CycHash to improve image retrieval. Its network is an encoder-decoder architecture. Cooperated with full-connected layers, an encoder is used to transform image to hash code. The decoder network is used to restore high-dimensional data from encoded feature maps. We define a restoration loss between the restored data from decoder network and inputted data of decoder network. The restoration loss and central similarity loss are summarized to guide the learning of hash function. Experiments of image retrieval demonstrate the effectiveness of our CycHash method and CycHash outperforms state-of-the-arts.