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Publication Year: 2021

1 to 10 of 93 Results

Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Oct 5, 2021 Tkachev, Gleb, 2021, "Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"", https://doi.org/10.18419/darus-2174, DaRUS, V1 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.
1README.md Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Markdown Text - 6.5 KB - MD5: 68f130a767c01781ac014ef8b22e15e0
200414_cylinder-300-2-basic-paper.py Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Python Source Code - 5.7 KB - MD5: 01ec21f3e3f07f33187b224dca902de7
200817_cylinder-300-2-basic_all-metrics.py Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Python Source Code - 1.1 KB - MD5: 5c7f9cd6a0100ffcabad2f08c9dbc9f4
20200817-153710_cluster-1125_200817_cylinder-300-2-basic_all-metrics.zip Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" ZIP Archive - 320.0 MB - MD5: 4036d79b7568f32af4997ada8dce8887
app.html Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" HTML - 25.2 KB - MD5: db2af53609e7f330d7a7213a8ed648b8
bootstrap.min.css Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Cascading Style Sheet - 16.6 KB - MD5: c2eb900af89a9e65412a15117d1bd637
BufferedNdArray.hpp Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Unknown - 22.8 KB - MD5: 05864fe0a2b820cdd805e34ef5f62dd5
BufferedNdArray.py Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Python Source Code - 17.1 KB - MD5: d498981bc6adbed8207ac2380d47eaf2
BufferedNdArrayWrapper.cpp Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" C++ Source - 9.9 KB - MD5: 99c037c159d744cff16a849157d7291f

Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Oct 5, 2021

Tkachev, Gleb, 2021, "Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"", https://doi.org/10.18419/darus-2174, DaRUS, V1

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.

1README.md

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Markdown Text - 6.5 KB -

200414_cylinder-300-2-basic-paper.py

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Python Source Code - 5.7 KB -

200817_cylinder-300-2-basic_all-metrics.py

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Python Source Code - 1.1 KB -

20200817-153710_cluster-1125_200817_cylinder-300-2-basic_all-metrics.zip

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

ZIP Archive - 320.0 MB -

app.html

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

HTML - 25.2 KB -

bootstrap.min.css

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Cascading Style Sheet - 16.6 KB -

BufferedNdArray.hpp

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Unknown - 22.8 KB -

BufferedNdArray.py

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Python Source Code - 17.1 KB -

BufferedNdArrayWrapper.cpp

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

C++ Source - 9.9 KB -

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