FlyingThings3D

Dense pixel matching is required for many computer vision algorithms such as disparity, optical flow or scene flow estimation. Feature Pyramid Networks (FPN) have proven to be a suitable feature extractor for CNN-based dense matching tasks.

Data and Resources

Cite this as

FlyingThings3D (2024). Dataset: FlyingThings3D. https://doi.org/10.57702/dqm2m8ty

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2006.12235
Citation
  • https://doi.org/10.48550/arXiv.2011.00320
  • https://doi.org/10.48550/arXiv.2102.08945
  • https://doi.org/10.48550/arXiv.1806.01677
  • https://doi.org/10.48550/arXiv.2311.12476
  • https://doi.org/10.48550/arXiv.2305.17432
  • https://doi.org/10.48550/arXiv.2208.02879
  • https://doi.org/10.48550/arXiv.2203.12655
Author FlyingThings3D
Homepage https://www.flyingthings3d.org/