Data · dataset · 2022
Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation
Listed in DaRUS
Results of our proposed optical flow method on the Sintel and KITTI datasets.
Description
We provide the benchmark results before and after applying our refinement approach. Additionally, we provide a supplementary material to our paper with more details on the minimisation, the numerical solution and additional results.
The data is structured as follows: The file supplement.pdf contains the supplementary material of the paper. Additionally, there are 10 data folders according to the test results in Table 3 of our paper. They are named using the scheme {input/output}_{datasetName}_{methodName}: input/output: whether the files are the input for our method or the output of our method datasetName: one of kitti, sintelClean or sintelFinal relating to either the KITTI dataset [Menze, CVPR 2015] or the Sintel dataset [Butler, ECCV 2012] methodName: one of raft or raftWarm [Teed, ECCV 2020] or the refined variants from our method.
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The data can be used to build on the output of our method or to compare a novel approach against our method by using the same input data. The dataformat is pdf for the supplementary material and png and flo for the optical flow files as used in the respective benchmarks.
Links
Where it is published
- Dataverse dataset page darus.uni-stuttgart.de/dataset.xhtml?persistentId=doi%3A10.18419%2FDARUS-2890 ↗
landing page · from darus uni stuttgart de
- DOI doi.org/10.18419/darus-2890 ↗
DOI / persistent id · from darus uni stuttgart de
Catalogue records · 1
- Dataverse API darus.uni-stuttgart.de/api/datasets/:persistentId/?persistentId=doi%3A10.18419%2FDARU… ↗
metadata API · from darus uni stuttgart de
Topics
- Stated by source
- Computer and Information Science
- From keywords
- Computer Science & AI · Computer vision
- Inferred from text
- Tabular 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DaRUS | doi:10.18419/DARUS-2890 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:460304 | mapping · darus uni stuttgart de | vocabulary-mapper@1.0.0 | keywords['Computer Vision'] |
| concepts[field].dataverse_subject:computer-and-information-science | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /subjects |
| concepts[modality].local:modality:tabular | enrichment · darus uni stuttgart de | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | |
| description | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /description |
| publication_date | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | |
| title | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /name |
| updated_date | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | |
| version_label | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 |