Fig 2. Humans outperform DNNs at recognizing objects in noise.

(a) Mean performance accuracy in a 16-alternative object classification task plotted as a function of SSNR level for human observers (black curves) and 8 standard pretrained DNNs (red curves) with ± 1 standard deviation in performance indicated by the shaded area around each curve. Separate curves are plotted for pixelated Gaussian noise (solid lines with closed circles) and Fourier phase-scrambled noise (dashed lines with open circles). (b) Classification accuracy plotted as a function of SSNR level for individual pretrained DNN models. Data are available at https://osf.io/bxr2v/. DNN, deep neural network; SSNR, signal-to-signal-plus-noise ratio.