How well do models of visual cortex generalize to out of distribution samples?
Fig 6
Design choices affect neural predictivity.
A: Barplot shows the neural predictivity score for different variations of the ResNet architecture on naturalistic (top) and synthetic (bottom) domains. Deeper and wider networks tend to yield higher neural predictivity scores. B: Unsupervised learning algorithms do not significantly improve neural predictivity on natural stimuli while Momentum Contrast leads to significantly higher neural predictivity on synthetic stimuli. C: Larger datasets with substantially higher number of categories (Instagram) and examples (CLIP) do not improve neural predictivity in either stimulus domains. All error bars denote the variance across 5 repetitions of each analysis.