Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors
Dense depth and surface normal predictors should possess the equivariant property to cropping-and-resizing – cropping the input image should result in cropping the same output image. However, we find that state-of-the-art depth and normal predictors, despite having strong performances, surprisingly do not respect equivariance. The problem exists even when crop-and-resize …