41 to 50 of 60 Results
Mar 14, 2023 -
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
ZIP Archive - 9.8 GB -
MD5: 32e1acc676887e951af49d65fef816e4
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Mar 14, 2023 -
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
ZIP Archive - 9.8 GB -
MD5: 7036e984fe35c982edaacf1fdcf92b13
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Mar 14, 2023 -
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
ZIP Archive - 9.8 GB -
MD5: 1e3b05bf49a3e279a68902ead1668feb
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Mar 14, 2023 -
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
ZIP Archive - 44.0 GB -
MD5: da64513cf07ca67defe149a96aa0dfcc
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Mar 14, 2023 -
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
ZIP Archive - 43.7 GB -
MD5: 551ac3161bbee2d869cc295b863c3881
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Mar 14, 2023 -
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
ZIP Archive - 44.0 GB -
MD5: 5cf887fa4b2003909db31336ab917664
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Mar 14, 2023 -
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
ZIP Archive - 12.4 GB -
MD5: 3a53483fc920514f72e553d1a11d271a
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Mar 14, 2023 -
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
ZIP Archive - 12.4 GB -
MD5: 3b6895a961f6822b824cd778ea03d936
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Aug 31, 2022
Mehl, Lukas; Beschle, Cedric; Barth, Andrea; Bruhn, Andrés, 2022, "Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation", https://doi.org/10.18419/darus-2890, DaRUS, V1
Results of our proposed optical flow method on the Sintel and KITTI datasets. 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 so... |
Aug 31, 2022 -
Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation
ZIP Archive - 95.8 MB -
MD5: 52b7b41b535963f9540c0d2a6438447f
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