Do training with blurred images make convolutional neural networks closer to humans concerning object recognition performance and internal representations?
Sou Yoshihara, Taiki Fukiage, Shin’ya Nishida
This study trains CNNs on sharp and blurry images to assess if it improves object recognition robustness and internal representations, finding partial success in reducing texture bias but not achieving human-like performance.
bioRxiv · Jun 13, 2022 · PreprintNeuroscience