Name
Abstract | ||
|---|---|---|
A number of vision problems such as zero-shot learning and person re-identification can be considered as cross-class transfer learning problems. As mid-level semantic properties shared cross different object classes, attributes have been studied extensively for knowledge transfer across classes. Most previous attribute learning methods focus only on human-defined/nameable semantic attributes, whil... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TPAMI.2017.2723882 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Semantics,Dictionaries,Training,Visualization,Computational modeling,Adaptation models,Data models | Algorithmic learning theory,Instance-based learning,Stability (learning theory),Multi-task learning,Inductive transfer,Active learning (machine learning),Computer science,Transfer of learning,Unsupervised learning,Natural language processing,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
40 | 7 | 0162-8828 |
Citations | PageRank | References |
15 | 0.59 | 60 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peixi Peng | 1 | 74 | 6.85 |
| Yonghong Tian | 2 | 1057 | 102.81 |
| Tao Xiang | 3 | 4929 | 215.84 |
| Yaowei Wang | 4 | 134 | 29.62 |
| Massimiliano Pontil | 5 | 5820 | 472.96 |
| Tiejun Huang | 6 | 1281 | 120.48 |