Title
Learning Fashion Similarity Based on Hierarchical Attribute Embedding
Abstract
Embedding items directly into a common feature space, and then measuring the similarity by calculating the feature distance in this space, has become the main method for similarity learning in current fashion retrieval tasks. The method is simple and efficient, but it ignores the correlation among fashion attributes and the impact of these correlations on the feature space, thereby reducing the ac...
Year
DOI
Venue
2021
10.1109/DSAA53316.2021.9564236
2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)
Keywords
DocType
ISBN
Correlation,Current measurement,Conferences,Semantics,Data science,Extraterrestrial measurements,Task analysis
Conference
978-1-6654-2099-0
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Cairong Yan101.35
Anan Ding200.34
Yanting Zhang332.80
Zijian Wang421.72