Name
Abstract | ||
|---|---|---|
Existing methods dealing with object instance re-identification (OIRe-ID) look for the best visual features match of a target object within a set of frames. Due to the nature of the problem, relying only on the visual appearance of object instances is likely to provide many false matches when there are multiple objects with similar appearance or multiple instances of same object class present in t... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICCVW54120.2021.00038 | 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) |
Keywords | DocType | Volume |
Visualization,Computer vision,Conferences,Computer architecture,Transformers,Object tracking,Context modeling | Conference | 2021 |
Issue | ISSN | ISBN |
1 | 2473-9936 | 978-1-6654-0191-3 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vaibhav Bansal | 1 | 0 | 0.34 |
| Gian Luca Foresti | 2 | 44 | 7.06 |
| Niki Martinel | 3 | 349 | 24.39 |