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Data · dataset · 2021

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

Listed in DaRUS

We train a self-supervised siamese model that enables querying for similar behavior on spatiotemporal volumes.

Description

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.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-217412 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4611mapping · darus uni stuttgart devocabulary-mapper@1.0.0keywords['Machine Learning']
concepts[field].dataverse_subject:computer-and-information-sciencesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].local:field:computer-science-aimapping · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
created_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
descriptionsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/description
publication_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
titlesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/name
updated_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
version_labelsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0