Human-like monocular depth biases in deep neural networks
Fig 8
Relationship between model accuracy and similarity to human judgments for 31 DNNs that output absolute depth values.
(A) Scatter plots illustrating the relationship between scale-shift invariant RMSE and human similarity across different affine components. Marker colors indicate the type of training datasets, while marker shapes represent the training strategy used. (B) Spearman correlation coefficients reflecting the relationship between RMSE and human similarity rankings. (C) Spearman correlation coefficients for model rankings based on human similarity across affine components.