%0 Generic %1 tkachev2021replication %A Tkachev, Gleb %D 2021 %K %R 10.18419/darus-2174 %T Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" %X We train a self-supervised siamese model that enables querying for similar behavior on spatiotemporal volumes. Here we provide the code and data needed to reproduce the representative figures of the paper. See the notes and the included readme file for details.

@misc{tkachev2021replication, abstract = {We train a self-supervised siamese model that enables querying for similar behavior on spatiotemporal volumes. Here we provide the code and data needed to reproduce the representative figures of the paper. See the notes and the included readme file for details.}, added-at = {2025-03-03T15:48:41.000+0100}, affiliation = {Tkachev, Gleb/University of Stuttgart}, author = {Tkachev, Gleb}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2bc63b703830288f5d93aa158b53e64d0/unibiblio}, doi = {10.18419/darus-2174}, howpublished = {Software}, interhash = {fe090f50834ff04c91843eb349d77b7d}, intrahash = {bc63b703830288f5d93aa158b53e64d0}, keywords = {}, note = {Related to: G. Tkachev, S. Frey and T. Ertl, "S4: Self-Supervised learning of Spatiotemporal Similarity," in IEEE Transactions on Visualization and Computer Graphics. doi: 10.1109/TVCG.2021.3101418}, orcid-numbers = {Tkachev, Gleb/0000-0003-2515-5263}, timestamp = {2025-03-03T14:48:41.000+0100}, title = {Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"}, year = 2021 }