Name
Abstract | ||
|---|---|---|
Zero-shot learning (ZSL) typically explores a shared semantic space in order to recognize novel categories in the absence of any labeled training data. However, the traditional ZSL methods always suffer from serious domain shift problem in human action recognition. This is because: 1) existing ZSL methods are specifically designed for object recognition from static images, which do not capture the... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TCSVT.2019.2908487 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Semantics,Training,Video sequences,Prototypes,Testing,Visualization,Object recognition | Journal | 30 |
Issue | ISSN | Citations |
6 | 1051-8215 | 4 |
PageRank | References | Authors |
0.38 | 33 | 5 |