%0 Generic %1 mehl2023spring %A Mehl, Lukas %A Schmalfuss, Jenny %A Jahedi, Azin %A Nalivayko, Yaroslava %A Bruhn, Andrés %D 2023 %K %R 10.18419/darus-3376 %T Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo %X The Spring dataset contains files for scene flow, optical flow and stereo estimation. For easier handling, we organized them into sub-directories. File formats: images and maps are given in png format, optical flow files are given in HDF5 file format and named .flo5. Disparity files are given in HDF5 file format and named .dsp5. For the project website see spring-benchmark.org.

@misc{mehl2023spring, abstract = {The Spring dataset contains files for scene flow, optical flow and stereo estimation. For easier handling, we organized them into sub-directories. File formats: images and maps are given in png format, optical flow files are given in HDF5 file format and named .flo5. Disparity files are given in HDF5 file format and named .dsp5. For the project website see spring-benchmark.org. }, added-at = {2023-08-31T14:55:52.000+0200}, affiliation = {Mehl, Lukas/Institute for Visualization and Interactive Systems, University of Stuttgart, Schmalfuss, Jenny/Institute for Visualization and Interactive Systems, University of Stuttgart, Jahedi, Azin/Institute for Visualization and Interactive Systems, University of Stuttgart, Nalivayko, Yaroslava/Institute for Visualization and Interactive Systems, University of Stuttgart, Bruhn, Andrés/Institute for Visualization and Interactive Systems, University of Stuttgart}, author = {Mehl, Lukas and Schmalfuss, Jenny and Jahedi, Azin and Nalivayko, Yaroslava and Bruhn, Andrés}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/281e169626e7eaf4afee12a878b33c921/puma-wartung}, doi = {10.18419/darus-3376}, howpublished = {Dataset}, interhash = {481aee40d3c7abc5276bfe56785d1289}, intrahash = {81e169626e7eaf4afee12a878b33c921}, keywords = {}, note = {Related to: Lukas Mehl, Jenny Schmalfuss, Azin Jahedi, Yaroslava Nalivayko, Andrés Bruhn: Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. arXiv: 2303.01943}, orcid-numbers = {Mehl, Lukas/0009-0001-0548-728X, Schmalfuss, Jenny/0000-0001-8507-927X, Jahedi, Azin/0000-0003-3956-0761, Bruhn, Andrés/0000-0003-0423-7411}, timestamp = {2023-08-31T12:55:52.000+0200}, title = {Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo}, year = 2023 }