Name
Abstract | ||
|---|---|---|
•Collect two new clothing video datasets and two new clothing attribute image datasets.•A novel semi-supervised approach is proposed for clothing attribute learning.•Unsupervised triplet network is trained with unlabeled video clothing data.•Demonstrate the effectiveness of video context to predict clothing attributes. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.neucom.2017.12.027 | Neurocomputing |
Keywords | Field | DocType |
Unsupervised learning,Clothing attribute,Triplet neural network,Semi-supervised,Fashion shows | Embedding,Pattern recognition,Clothing,Artificial intelligence,Artificial neural network,Mathematics | Journal |
Volume | ISSN | Citations |
282 | 0925-2312 | 3 |
PageRank | References | Authors |
0.40 | 31 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sanyi Zhang | 1 | 22 | 1.97 |
| Si Liu | 2 | 1891 | 86.89 |
| Xiaochun Cao | 3 | 1986 | 131.55 |
| Zhanjie Song | 4 | 11 | 3.93 |
| Jie Zhou | 5 | 2103 | 190.17 |