Name
Title | ||
|---|---|---|
Distance learning by mining hard and easy negative samples for person re-identification. |
Abstract | ||
|---|---|---|
•We have proposed a Hard and Easy Negative samples mining based Distance learning (HEND) approach for person re-identification.•We have designed a symmetric triplet constraint for the proposed HEND approach.•We have proposed a Projection based HEND (PHEND) approach, which simultaneously learns a projection matrix and a distance metric.•We have conducted extensive experiments in this paper to evaluate our approaches. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patcog.2019.06.007 | Pattern Recognition |
Keywords | Field | DocType |
Distance learning,Symmetric triplet constraint,Negative samples division,Projection matrix,Person re-identification | Pattern recognition,Distance education,Metric (mathematics),Artificial intelligence,Discriminative model,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
95 | 1 | 0031-3203 |
Citations | PageRank | References |
3 | 0.40 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoke Zhu | 1 | 78 | 7.77 |
| Xiao-Yuan Jing | 2 | 769 | 55.18 |
| Fan Zhang | 3 | 20 | 6.23 |
| Xinyu Zhang | 4 | 24 | 12.48 |
| Xinge You | 5 | 1441 | 83.00 |
| Xiang Cui | 6 | 115 | 20.63 |