Data underlying the publication/thesis chapter: Learning to Adapt to Position Bias in Vision Transformer Classifiers
This article proposes a novel method to measure learned position bias in Vision Transformers, and investigates which model design choices affect learned equivariance.
Learning to Adapt to Position Bias in Vision Transformer Classifiers