VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data

Understand

Progress in machine learning is typically measured by training and testing a model on the same distribution of data, i.e., the same domain.

• This over-estimates future accuracy on out-of-distribution data.
• The Visual Domain Adaptation (VisDA) 2021 competition tests models' ability to adapt to novel test distributions and handle distributional shift.
• We set up unsupervised domain adaptation challenges for image classifiers and will evaluate adaptation to novel viewpoints, backgrounds, modalities and degradation in quality.