arxivst stuff from arxiv that you should probably bookmark

Supervised Deep Hashing for Hierarchical Labeled Data

Abstract · Apr 7, 2017 05:03 ·

hashing hierarchical labeled hash zhang supervised cs-cv

Arxiv Abstract

  • Dan Wang
  • Heyan Huang
  • Chi Lu
  • Bo-Si Feng
  • Liqiang Nie
  • Guihua Wen
  • Xian-Ling Mao

Recently, hashing methods have been widely used in large-scale image retrieval. However, most existing hashing methods did not consider the hierarchical relation of labels, which means that they ignored the rich information stored in the hierarchy. Moreover, most of previous works treat each bit in a hash code equally, which does not meet the scenario of hierarchical labeled data. In this paper, we propose a novel deep hashing method, called supervised hierarchical deep hashing (SHDH), to perform hash code learning for hierarchical labeled data. Specifically, we define a novel similarity formula for hierarchical labeled data by weighting each layer, and design a deep convolutional neural network to obtain a hash code for each data point. Extensive experiments on several real-world public datasets show that the proposed method outperforms the state-of-the-art baselines in the image retrieval task.

Read the paper (pdf) »