Siamese Dilated Inception Hashing With Intra-Group Correlation Enhancement for Image Retrieval.For large-scale image retrieval, hashing has been extensively explored in approximate nearest neighbor search methods due to its low storage and high computational efficiency. 
Siamese Dilated Inception Hashing With Intra-Group Correlation Enhancement for Image Retrieval
In this article, we propose an end-to-end siamese dilated inception hashing (SDIH) method that takes full advantage of multi-scale contextual information and category-level semantics to enhance the intra-group correlation of hash codes for hash codes learning.  Finally, experimental results in five public data sets demonstrate that SDIH can outperform other state-of-the-art hashing algorithms.
SDIH