Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories.
Christoffer Löffler|Luca Reeb|Daniel Dzibela|Robert Marzilger|Nicolas Witt|Björn M. Eskofier|Christopher Mutschler
| Anthology ID: | DBLP:journals/tist/LofflerRDMWEM22 |
|---|---|
| Year: | 2022 |
| Venue: | ACM Transactions on Intelligent Systems and Technology (TIST) |
| Pages: | 6:1-6:23 |
| URL: | https://doi.org/10.1145/3465057 |
| DOI: | https://doi.org/10.1145/3465057 |
| DBLP: | journals/tist/LofflerRDMWEM22 |
| BibTeX: |
@article{loffler-2022-deep,
author = {Christoffer L\"{o}ffler and
Luca Reeb and
Daniel Dzibela and
Robert Marzilger and
Nicolas Witt and
Bj\"{o}rn M. Eskofier and
Christopher Mutschler},
title = {{Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories}},
journal = {ACM Transactions on Intelligent Systems and Technology (TIST)},
volume = {13},
number = {1},
pages = {6:1--6:23},
year = {2022},
url = {https://doi.org/10.1145/3465057},
doi = {https://doi.org/10.1145/3465057}
}