TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/ResNet-50 (IN-C_motion_blur)

ResNet-50 (IN-C_motion_blur)

Reported on 6 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology3 results

  • Domain AdaptationonVizWiz-Classification
    Accuracy - All Images· 2020-07-01
    35.7
    best: 57.2 (VOLO-D5)
    Measuring Robustness to Natural Distribution Shifts in Image ClassificationarXiv:2007.00644
  • Domain AdaptationonVizWiz-Classification
    Accuracy - Clean Images· 2020-07-01
    39.6
    best: 450 (ViT-8/B-224)
    Measuring Robustness to Natural Distribution Shifts in Image ClassificationarXiv:2007.00644
  • Domain AdaptationonVizWiz-Classification
    Accuracy - Corrupted Images· 2020-07-01
    30.2
    best: 51.8 (VOLO-D5)
    Measuring Robustness to Natural Distribution Shifts in Image ClassificationarXiv:2007.00644

Computer Vision3 results

  • Domain GeneralizationonVizWiz-Classification
    Accuracy - All Images· 2020-07-01
    35.7
    best: 57.2 (VOLO-D5)
    Measuring Robustness to Natural Distribution Shifts in Image ClassificationarXiv:2007.00644
  • Domain GeneralizationonVizWiz-Classification
    Accuracy - Clean Images· 2020-07-01
    39.6
    best: 450 (ViT-8/B-224)
    Measuring Robustness to Natural Distribution Shifts in Image ClassificationarXiv:2007.00644
  • Domain GeneralizationonVizWiz-Classification
    Accuracy - Corrupted Images· 2020-07-01
    30.2
    best: 51.8 (VOLO-D5)
    Measuring Robustness to Natural Distribution Shifts in Image ClassificationarXiv:2007.00644