Figure 1.

Blur training brings CNN closer to humans in recognizing low-pass filtered object images. (A) Sample blurred images. (B) Four blur training methods. (C) Classification accuracy on low-pass filtered test images. Top-1 accuracy is the rate at which the model's first choice matches the expected answer. Error bars represent 95% confidence intervals estimated from the performances of eight models trained with different random seeds.