Studying classical #CNN architectures such as #VGG and #ResNet, we observed that they could be sensitive to simple rotations... and that incorporating a biologically inspired retinotopic mapping could alleviate this and also bring other nice features observed in the human visual system.

Hear Jean-Nicolas Jérémie aka @jnjer present these results today at the 32nd International Conference on Artificial Neural Networks (#ICANN 2023) in Heraklion, Greece.

The figure below shows the accuracy of different CNNs to the task "is there an animal in the image" - with a classical (Linear) or retinotopic (polar) mapping. Note that VGG may answer confidently the wrong answer for images rotated around 160°...

More in https://laurentperrinet.github.io/publication/jeremie-23-icann/